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ORCIDCoRR, July 2019
- Alessandro Muscoloni, Carlo Vittorio Cannistraci:
Angular separability of data clusters or network communities in geometrical space and its relevance to hyperbolic embedding. - Vaden Masrani, Tuan Anh Le, Frank Wood:
The Thermodynamic Variational Objective. - Alessandra Graf, David G. Harris, Penny Haxell:
Algorithms for weighted independent transversals and strong colouring. - Jean-François Kagy, Tolga Kayadelen, Ji Ma, Afshin Rostamizadeh, Jana Strnadová:
The Practical Challenges of Active Learning: Lessons Learned from Live Experimentation. - Bjørn-Olav H. Eriksen, Morten Breivik, Erik Falmar Wilthil, Andreas Lindahl Flåten, Edmund Førland Brekke:
The Branching-Course MPC Algorithm for Maritime Collision Avoidance. - Tengfei Wang, Shuyi Zhang, Xiao Wu, Wei Cai:
Rhythm Dungeon: A Blockchain-based Music Roguelike Game. - Johannes Hofmann, Christie L. Alappat, Georg Hager, Dietmar Fey, Gerhard Wellein:
Bridging the Architecture Gap: Abstracting Performance-Relevant Properties of Modern Server Processors. - Bernd Amann, Youry Khmelevsky, Gaétan Hains:
State-of-the-Art on Query & Transaction Processing Acceleration. - Cameron T. Chalk, Niels Kornerup, Wyatt Reeves, David Soloveichik:
Composable Rate-Independent Computation in Continuous Chemical Reaction Networks. - Verónica Becher, Lucas Cortés:
Extending de Bruijn sequences to larger alphabets. - Tomás Feder, Pavol Hell, Carlos S. Subi:
Complexity of acyclic colorings of graphs and digraphs with degree and girth constraints. - Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
DIEL: Transparent Scaling for Interactive Visualization. - Dongyang Kuang:
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks. - Dongyang Kuang
:
A 1d convolutional network for leaf and time series classification. - Jennifer A. Loe, Heidi K. Thornquist, Erik G. Boman:
Polynomial Preconditioned GMRES to Reduce Communication in Parallel Computing. - Jason Bays, Umit Karabiyik:
Forensic Analysis of Third Party Location Applications in Android and iOS. - Yifan Wu, Remco Chang, Eugene Wu, Joseph M. Hellerstein:
Programming with Timespans in Interactive Visualizations. - Cheng Chen, Oren Kedem, Claudio R. C. M. da Silva, Carlos Cordeiro:
Millemeter-Wave Fixed Wireless Access Using IEEE 802.11ay. - Benno Kruit, Peter A. Boncz, Jacopo Urbani:
Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version). - Yakov Berchenko-Kogan, Ari Stern:
Constraint-preserving hybrid finite element methods for Maxwell's equations. - Alex Ozdemir, Aina Niemetz, Mathias Preiner, Yoni Zohar, Clark W. Barrett:
DRAT-based Bit-Vector Proofs in CVC4. - Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar V. Kamarthi, Byron C. Wallace:
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data. - Lingyun Ding, Jingfang Huang, Jeremy Louis Marzuola:
Quadrature by Two Expansions: Evaluating Laplace Layer Potentials using Complex Polynomial and Plane Wave Expansions. - Jasmine Otto, Angus G. Forbes, Jan Verschelde:
Solving Polynomial Systems with phcpy. - Mahzad Khoshlessan, Ioannis Paraskevakos, Geoffrey C. Fox, Shantenu Jha, Oliver Beckstein:
Parallel Performance of Molecular Dynamics Trajectory Analysis. - Min Wu, Marta Kwiatkowska:
Robustness Guarantees for Deep Neural Networks on Videos. - François Schwarzentruber:
The Complexity of Tiling Problems. - Matthew Streeter:
Learning Effective Loss Functions Efficiently. - Berkay Turan, Nathaniel Tucker, Mahnoosh Alizadeh:
Smart Charging Benefits in Autonomous Mobility on Demand Systems. - Yonatan Gur, Ahmadreza Momeni:
Adaptive Sequential Experiments with Unknown Information Flows. - Alessandro Ferrero, Shireen Y. Elhabian, Ross T. Whitaker:
SetGANs: Enforcing Distributional Accuracy in Generative Adversarial Networks. - Vikramjit Mitra, Sue Booker, Erik Marchi, David Scott Farrar, Ute Dorothea Peitz, Bridget Cheng, Ermine Teves, Anuj Mehta, Devang Naik:
Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice. - Saba Ahmadi, Sainyam Galhotra, Samir Khuller, Barna Saha, Roy Schwartz:
Min-Max Correlation Clustering via MultiCut. - (Withdrawn) One Size Does Not Fit All: Modeling Users' Personal Curiosity in Recommender Systems.
- Faris B. Mismar, Brian L. Evans, Ahmed Alkhateeb:
Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. - Sunil Manandhar, Kevin Moran, Kaushal Kafle, Ruhao Tang, Denys Poshyvanyk, Adwait Nadkarni:
Helion: Enabling a Natural Perspective of Home Automation. - Liuyuan Deng, Ming Yang, Tianyi Li, Yuesheng He, Chunxiang Wang:
RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation. - Chihiro Noguchi, Yoshiyuki Kabashima:
Approximate matrix completion based on cavity method. - Anthony Degleris, Ben Antin, Surya Ganguli, Alex H. Williams:
Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates. - Kartik Lakhotia, Qing Dong, Rajgopal Kannan, Viktor K. Prasanna:
Planting Trees for scalable and efficient Canonical Hub Labeling. - Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas:
Approximate Inference in Structured Instances with Noisy Categorical Observations. - Joenio Marques da Costa:
Análise Estática de Código-Fonte. - Elena Montes, Monique Shotande, Daniel Helm, Christan Grant:
DataPop: Knowledge Base Population using Distributed Voice Enabled Devices. - Amir Bar, Michal Mauda, Yoni Turner, Michal Safadi, Eldad Elnekave:
Improved ICH classification using task-dependent learning. - Yi Liao, Yasheng Wang, Qun Liu, Xin Jiang:
GPT-based Generation for Classical Chinese Poetry. - Sandeep Singh Adhikari, Sukhneer Singh, Anoop Kolar Rajagopal, Aruna Rajan:
Progressive Fashion Attribute Extraction. - Reza Shokri, Martin Strobel, Yair Zick:
Privacy Risks of Explaining Machine Learning Models. - Chaolong Jiang, Yuezheng Gong, Wenjun Cai, Yushun Wang:
A linearly implicit structure-preserving scheme for the Camassa-Holm equation based on multiple scalar auxiliary variables approach. - Felix Stahlberg, Bill Byrne:
The CUED's Grammatical Error Correction Systems for BEA-2019. - John Lång, I. S. W. B. Prasetya:
Model Checking a C++ Software Framework, a Case Study. - Yu Liu, Jiahui Li, Xiujun Zhang, Shidong Zhou:
Fast Accurate Beam and Channel Tracking for Two-dimensional Phased Antenna Arrays. - Alejandro Aguado, Víctor López, Diego R. López, Momtchil Peev, Andreas Poppe, Antonio Pastor, Jesús Folgueira, Vicente Martín:
The Engineering of Software-Defined Quantum Key Distribution Networks. - Alexander Lerch, Claire Arthur, Kumar Ashis Pati, Siddharth Gururani:
Music Performance Analysis: A Survey. - Anders Edelbo Lillie, Emil Refsgaard Middelboe:
Fake News Detection using Stance Classification: A Survey. - Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez:
Continual Learning for Robotics. - Marcely Zanon Boito, Aline Villavicencio, Laurent Besacier:
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings. - Xingkang He, Karl Henrik Johansson, Haitao Fang:
Distributed Design of Robust Kalman Filters over Corrupted Channels. - Debin Meng, Xiaojiang Peng, Kai Wang, Yu Qiao:
frame attention networks for facial expression recognition in videos. - Adam Lev-Libfeld, Alexander Margolin, Amnon Barak:
Open-MPI over MOSIX: paralleled computing in a clustered world. - Bjørn-Olav H. Eriksen, Glenn Bitar, Morten Breivik, Anastasios M. Lekkas:
Hybrid Collision Avoidance for ASVs Compliant with COLREGs Rules 8 and 13-17. - Faeq Alrimawi, Liliana Pasquale, Deepak Mehta, Nobukazu Yoshioka, Bashar Nuseibeh:
Incidents Are Meant for Learning, Not Repeating: Sharing Knowledge About Security Incidents in Cyber-Physical Systems. - David B. Blumenthal, Sébastien Bougleux, Johann Gamper, Luc Brun:
Upper Bounding GED via Transformations to LSAPE Based on Rings and Machine Learning. - Gal Raayoni, George Pisha, Yahel Manor, Uri Mendlovic, Doron Haviv, Yaron Hadad, Ido Kaminer:
The Ramanujan Machine: Automatically Generated Conjectures on Fundamental Constants. - Liu Ziyin, Zhikang Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda:
Deep Gamblers: Learning to Abstain with Portfolio Theory. - Feiping Nie, Hua Wang, Zheng Wang, Heng Huang:
Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms. - Mobarakol Islam, Yueyuan Li, Hongliang Ren:
Learning Where to Look While Tracking Instruments in Robot-assisted Surgery. - Xiaoyu Chen, Qixin Wang, Jinzhou Ge, Yi Zhang, Jing Han:
Non-destructive three-dimensional measurement of hand vein based on self-supervised network. - Na Lei, Xiaopeng Zheng, Zhongxuan Luo, Feng Luo, Xianfeng Gu:
Quadrilateral Mesh Generation II : Meromorphic Quartic Differentials and Abel-Jacobi Condition. - Uwe Messer, Stefan Fausser:
Predicting Social Perception from Faces: A Deep Learning Approach. - Liwen Zhang, Kewei Tu, Yue Zhang:
Latent Variable Sentiment Grammar. - Qingkai Yang, Hao Fang, Jie Chen, Zhong-Ping Jiang, Ming Cao:
Distributed Global Output-Feedback Control for a Class of Euler-Lagrange Systems. - Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser:
Causal Inference Under Interference And Network Uncertainty. - Christopher Lynch, Andrew M. Marshall, Catherine Meadows, Paliath Narendran, Veena Ravishankar:
On Asymmetric Unification for the Theory of XOR with a Homomorphism. - Eman Salem Alashwali, Pawel Szalachowski, Andrew Martin:
Towards Forward Secure Internet Traffic. - Jiaqi Yang, Siwen Quan, Peng Wang, Yanning Zhang:
Evaluating Local Geometric Feature Representations for 3D Rigid Data Matching. - Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. - Nikita Ivkin, Edo Liberty, Kevin J. Lang, Zohar S. Karnin, Vladimir Braverman:
Streaming Quantiles Algorithms with Small Space and Update Time. - Dmitriy Zhuk, Barnaby Martin:
QCSP monsters and the demise of the Chen Conjecture. - Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers, Cameron Browne:
An Overview of the Ludii General Game System. - Ajay Sriram, Meysam Masoudi, Abdulrahman Alabbasi, Cicek Cavdar:
Joint Functional Splitting and Content Placement for Green Hybrid CRAN. - Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne:
An Empirical Evaluation of Two General Game Systems: Ludii and RBG. - Cédric Piette, Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne:
Ludii and XCSP: Playing and Solving Logic Puzzles. - Matthew Stephenson, Éric Piette, Dennis J. N. J. Soemers, Cameron Browne:
Ludii as a Competition Platform. - Xiaobiao Huang:
Multi-objective multi-generation Gaussian process optimizer for design optimization. - Evgenii Safronov, Michael Vilzmann, Dzmitry Tsetserukou, Konstantin Kondak:
Asynchronous Behavior Trees with Memory aimed at Aerial Vehicles with Redundancy in Flight Controller. - Jakob Voß:
Infrastructure-Agnostic Hypertext. - Jonathan Frankle, David Bau:
Dissecting Pruned Neural Networks. - Dawei Yang, Jia Deng:
Learning to Generate Synthetic 3D Training Data through Hybrid Gradient. - Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp:
On Training Flexible Robots using Deep Reinforcement Learning. - Guillaume Derval, Frédéric Docquier, Pierre Schaus:
An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data. - Kartik Hegde, Abhishek Srivastava, Rohit Agrawal:
HTS: A Hardware Task Scheduler for Heterogeneous Systems. - Steven Chaplick:
Intersection Graphs of Non-crossing Paths. - Pedro Morgado, Nuno Vasconcelos:
NetTailor: Tuning the Architecture, Not Just the Weights. - Leonidas Lefakis, Oleksandr Zadorozhnyi, Gilles Blanchard:
Efficient Regularized Piecewise-Linear Regression Trees. - Alexander Vakhitov, Victor S. Lempitsky, Yinqiang Zheng:
Stereo relative pose from line and point feature triplets. - Adam Conkey, Tucker Hermans:
Active Learning of Probabilistic Movement Primitives. - Patrick Kreitzberg, Kyle Lucke, Oliver Serang:
Most abundant isotope peaks and efficient selection on Y=X1+X2+... + Xm. - Po-Yu Kao, Jefferson W. Chen, B. S. Manjunath:
Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior. - Marcus M. Scheunemann, Sander G. van Dijk:
ROS 2 for RoboCup. - Amogh Agrawal, Chankyu Lee, Kaushik Roy:
X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks. - Grzegorz Krzyzanowski, Marcin Magdziarz, Lukasz Plociniczak:
A weighted finite difference method for subdiffusive Black Scholes Model. - Umang Mathur, Adithya Murali, Paul Krogmeier, P. Madhusudan, Mahesh Viswanathan:
Deciding Memory Safety for Forest Datastructures. - Xinping Xu, Lingjie Duan, Minming Li:
Strategic Learning Approach for Deploying UAV-provided Wireless Services. - George Bissias, Brian Neil Levine, David Thibodeau:
Bonded Mining: Difficulty Adjustment by Miner Commitment. - Rodrigo Silva-Valenzuela, Alejandro Ortiz-Bernardin, N. Sukumar, Edoardo Artioli, Nancy Hitschfeld-Kahler:
A nodal integration scheme for meshfree Galerkin methods using the virtual element decomposition. - Peida Tian, Victoria Kostina:
From Parameter Estimation to Dispersion of Nonstationary Gauss-Markov Processes. - Joshua A. Grochow, Youming Qiao:
Isomorphism problems for tensors, groups, and cubic forms: completeness and reductions. - Houston Claure, Yifang Chen, Jignesh Modi, Malte F. Jung, Stefanos Nikolaidis:
Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams. - Pei-Chuan Chen, Erik D. Demaine, Chung-Shou Liao, Hao-Ting Wei:
Waiting is not easy but worth it: the online TSP on the line revisited. - Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz:
Multiple Landmark Detection using Multi-Agent Reinforcement Learning. - Lonce Wyse:
Mechanisms of Artistic Creativity in Deep Learning Neural Networks. - Richard Guo, Cencheng Shen, Joshua T. Vogelstein:
Estimating Information-Theoretic Quantities with Random Forests. - Jie Cao, Michael Tanana, Zac E. Imel, Eric Poitras, David C. Atkins, Vivek Srikumar:
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes. - Niranjan Balachandar, Justin Dieter, Govardana Sachithanandam Ramachandran:
Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning. - Xinsheng Wang, Shanmin Pang, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Yaochen Li:
Visual Space Optimization for Zero-shot Learning. - Gabriel Salles-Loustau, Vidyasagar Sadhu, Dario Pompili, Saman A. Zonouz, Vincent Sritapan:
Secure Mobile Technologies for Proactive Critical Infrastructure Situational Awareness. - Simon Lynen, Bernhard Zeisl, Dror Aiger, Michael Bosse, Joel A. Hesch, Marc Pollefeys, Roland Siegwart, Torsten Sattler:
Large-scale, real-time visual-inertial localization revisited. - Mishal Mahmood, Mariam Azam, Khair-un-Nisa Fatima, Muhammad Sarwar, Muhammad Abubakar, Babar Hussain:
Design and Implementation of an Automatic Synchronizing and Protection Relay through Power-Hardware-in-the-Loop (PHIL) Simulation. - Hossein Sabzian, Seyyed Mostafa Seyyed Hashemi, Ehsan Kamrani:
Development of a novel matrix-based methodology for system engineering: A case study. - Wei Shen, Fei Li, Rujie Liu:
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks. - Jingrun Chen, Dingjiong Ma, Zhiwen Zhang:
A multiscale reduced basis method for Schrödinger equation with multiscale and random potentials. - Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random Vector Functional Link Neural Network based Ensemble Deep Learning. - Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Difficulty-aware Meta-Learning for Rare Disease Diagnosis. - Willem Conradie, Sabine Frittella, Krishna Manoorkar, Sajad Nazari, Alessandra Palmigiano, Apostolos Tzimoulis, Nachoem M. Wijnberg:
Rough concepts. - Junshan Luo, Shilian Wang, Fanggang Wang:
Spatial Coded Modulation. - Ebrahim Al Alkeem, Song-Kyoo Kim, Chan Yeob Yeun, M. Jamal Zemerly, Kin Fai Poon, Paul D. Yoo:
An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning. - Nir Morgulis, Alexander Kreines, Shachar Mendelowitz, Yuval Weisglass:
Fooling a Real Car with Adversarial Traffic Signs. - Valentina Lenarduzzi, Francesco Lomio, Davide Taibi, Heikki Huttunen:
On the Fault Proneness of SonarQube Technical Debt Violations: A comparison of eight Machine Learning Techniques. - Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis, Kurt Gray, Dinesh Manocha:
FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics. - Xiaoyu Qin, Kai Ming Ting, Ye Zhu, Vincent C. S. Lee:
Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering. - Saket Singh, Debdoot Sheet, Mithun Dasgupta:
Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory. - André Flores, Rodrigo C. de Lamare:
Study of Rate-Splitting Techniques with Block Diagonalization for Multiuser MIMO Systems. - Jiadong Xiao, Lin Li, Yanbiao Zou, Tie Zhang:
Reinforcement Learning for Robotic Time-optimal Path Tracking Using Prior Knowledge. - Haihong E, Peiqing Niu, Zhongfu Chen, Meina Song:
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling. - Narges Gholipoor, Hamid Saeedi, Nader Mokari, Eduard A. Jorswieck:
E2E Delay Guarantee for the Tactile Internet via joint NFV and Radio Resource Allocation. - Shao-Lun Huang, Xiangxiang Xu:
On the Sample Complexity of HGR Maximal Correlation Functions. - Samuel Yen-Chi Chen, Hsi-Sheng Goan:
Variational Quantum Circuits and Deep Reinforcement Learning. - Luca Bigon, Giovanni Cassani, Ciro Greco, Lucas Lacasa, Mattia Pavoni, Andrea Polonioli, Jacopo Tagliabue:
Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce. - Daniele Boffi, Lucia Gastaldi, Sebastian Wolf:
Higher-order time-stepping schemes for fluid-structure interaction problems. - Daniel Fernandes Gomes, Shan Luo, Luís F. Teixeira:
GarmNet: Improving Global with Local Perception for Robotic Laundry Folding. - Jan Christian Blaise Cruz, Charibeth Cheng:
Evaluating Language Model Finetuning Techniques for Low-resource Languages. - Pasawee Wirojwatanakul, Artit Wangperawong:
Multi-Label Product Categorization Using Multi-Modal Fusion Models. - Mario Bravetti, Marco Carbone, Julien Lange, Nobuko Yoshida, Gianluigi Zavattaro:
A Sound Algorithm for Asynchronous Session Subtyping (extended version). - Zijia Zhong, Joyoung Lee:
Dedicated Lane for Connected and Automated Vehicle: How Much Does A Homogeneous Traffic Flow Contribute? - Jørgen Bang-Jensen, Thomas Bellitto, Anders Yeo:
Connecting edge-colouring. - He Fang, Xianbin Wang, Stefano Tomasin:
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks. - Nadisha-Marie Aliman, Leon Kester:
Requisite Variety in Ethical Utility Functions for AI Value Alignment. - Raajay Viswanathan, Aditya Akella:
Network-accelerated Distributed Machine Learning Using MLFabric. - Aarash Heydari, Janny Zhang, Shaan Appel, Xinyi Wu, Gireeja Ranade:
YouTube Chatter: Understanding Online Comments Discourse on Misinformative and Political YouTube Videos. - Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. - Fleurianne Bertrand, Daniele Boffi:
The Prager-Synge theorem in reconstruction based a posteriori error estimation. - Dhananjay Ram, Lesly Miculicich, Hervé Bourlard:
Multilingual Bottleneck Features for Query by Example Spoken Term Detection. - Jiawei Wu, Xin Wang, William Yang Wang:
Self-Supervised Dialogue Learning. - Ben Benzaman, Erfan Pakdamanian:
Discrete Event Simulation of Driver's Routing Behavior Rule at a Road Intersection. - Jason Mancuso, Tomasz Kisielewski, David Lindner, Alok Singh:
Detecting Spiky Corruption in Markov Decision Processes. - Diego Maupomé, Marie-Jean Meurs:
Multiplicative Models for Recurrent Language Modeling. - Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard:
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog. - Shaoshi Ling, Julian Salazar, Katrin Kirchhoff:
Contextual Phonetic Pretraining for End-to-end Utterance-level Language and Speaker Recognition. - Linan Huang, Quanyan Zhu:
N-Person Discrete-Time Dynamic Games of Asymmetric Information. - Diego Maupomé, Marc Queudot, Marie-Jean Meurs:
Inter and Intra Document Attention for Depression Risk Assessment. - Joseph Fisher, Andreas Vlachos:
Merge and Label: A novel neural network architecture for nested NER. - Lê Thành Dung Nguyên:
Typed lambda-calculi and superclasses of regular functions. - Erick Schmidt, David Akopian:
A Fast-rate WLAN Measurement Tool for Improved Miss-rate in Indoor Navigation. - Ramsès Fernàndez-València:
Genus 2 Supersingular Isogeny Oblivious Transfer. - Tejas Srinivasan, Ramon Sanabria, Florian Metze:
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions. - Erick Schmidt, David Akopian:
Indoor positioning system using WLAN channel estimates as fingerprints for mobile devices. - Joe Loughry:
("Oops! Had the silly thing in reverse") - Optical injection attacks in through LED status indicators. - Vitaliy Lyudvichenko, Dmitriy S. Vatolin:
Predicting video saliency using crowdsourced mouse-tracking data. - Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi:
Mincut pooling in Graph Neural Networks. - Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz:
Effects of Foraging in Personalized Content-based Image Recommendation. - Yuval Emek, Shay Kutten, Ron Lavi, Yangguang Shi:
Bayesian Generalized Network Design. - Massimo Fornasier, Timo Klock, Michael Rauchensteiner:
Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks. - Jaimie Murdock:
Topic Modeling the Reading and Writing Behavior of Information Foragers. - Maximilian Du:
Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions. - Ali Furkan Biten, Rubèn Tito, Andrés Mafla, Lluís Gómez, Marçal Rusiñol, Minesh Mathew, C. V. Jawahar, Ernest Valveny, Dimosthenis Karatzas:
ICDAR 2019 Competition on Scene Text Visual Question Answering. - Liang Ding, Dacheng Tao:
The University of Sydney's Machine Translation System for WMT19. - Evangelos Pournaras:
Proof of Witness Presence: Blockchain Consensus for Augmented Democracy in Smart Cities. - Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava:
Deep Residual Neural Networks for Audio Spoofing Detection. - Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Modeling Tabular data using Conditional GAN. - Adriano Valadar, Eduardo Nuno Almeida, Jorge Mamede:
Joint User Mobility and Traffic Characterization in Temporary Crowded Events. - Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. - Mengyu Fu, Alan Kuntz, Oren Salzman, Ron Alterovitz:
Toward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search. - Justin Slepak, Olin Shivers, Panagiotis Manolios:
The Semantics of Rank Polymorphism. - Amir Karami, Suzanne C. Swan, Cynthia Nicole White, Kayla Ford:
Hidden in Plain Sight For Too Long: Using Text Mining Techniques to Shine a Light on Workplace Sexism and Sexual Harassment. - Azarakhsh Keipour, Mohammadreza Mousaei, Sebastian A. Scherer:
Automatic Real-time Anomaly Detection for Autonomous Aerial Vehicles. - Weixia Zhang, Kede Ma, Xiaokang Yang:
Learning to Blindly Assess Image Quality in the Laboratory and Wild. - Fei Gao, Luqi Wang, Boyu Zhou, Luxin Han, Jie Pan, Shaojie Shen:
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments. - Zipeng Ye, Ran Yi, Minjing Yu, Yong-Jin Liu, Ying He:
Geodesic Centroidal Voronoi Tessellations: Theories, Algorithms and Applications. - Grigory Yaroslavtsev, Samson Zhou:
Approximate F2-Sketching of Valuation Functions. - (Withdrawn) FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control.
- Wenyue Zhou, Qiang Liu, Yifei Shen, Xiaofeng Zhou, Chuan Zhang, Yaohua Xu, Liping Li:
Polar Codes with Memory. - Jiechao Ma, Sen Liang, Xiang Li, Hongwei Li, Bjoern H. Menze, Rongguo Zhang, Wei-Shi Zheng:
Cross-view Relation Networks for Mammogram Mass Detection. - Kazuya Shimizu, Ryuhei Mori:
Exponential-time quantum algorithms for graph coloring problems. - Salman Salamatian, Litian Liu, Ahmad Beirami, Muriel Médard:
Mismatched Guesswork. - Maria-Florina Balcan, Travis Dick, Manuel Lang:
Learning to Link. - Christoph Heindl, Thomas Pönitz, Andreas Pichler, Josef Scharinger:
Large Area 3D Human Pose Detection Via Stereo Reconstruction in Panoramic Cameras. - Étienne André, Jun Sun:
Parametric Timed Model Checking for Guaranteeing Timed Opacity. - Mohammad Ashiqur Rahman, Md Hasan Shahriar, Ehab Al-Shaer, Quanyan Zhu:
A Formal Approach for Efficient Navigation Management of Hybrid Electric Vehicles on Long Trips. - Hee-Soo Heo, Jee-weon Jung, Hye-jin Shim, Il-Ho Yang, Ha-Jin Yu:
Cosine similarity-based adversarial process. - Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang:
Unsupervised Adversarial Graph Alignment with Graph Embedding. - Christoph Heindl, Thomas Pönitz, Gernot Stübl, Andreas Pichler, Josef Scharinger:
Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time. - Min Jun Kim, Fabian Beck, Christian Ott, Alin Albu-Schäffer:
Model-free Friction Observers for Flexible Joint Robots with Torque Measurements. - Étienne André, Michal Knapik, Didier Lime, Wojciech Penczek, Laure Petrucci:
Parametric Verification: An Introduction. - Maria Taktasheva, Albert Matveev, Alexey Artemov, Evgeny Burnaev:
Learning to Approximate Directional Fields Defined over 2D Planes. - Ido Nachum, Amir Yehudayoff:
On Symmetry and Initialization for Neural Networks. - Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, Maarten de Rijke:
Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? - Jia Chen, Heping Wang:
Average case tractability of additive random fields with Korobov kernels. - Jidong Hao, Heping Wang:
Strong equivalences of approximation numbers and tractability of weighted anisotropic Sobolev embeddings. - Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan:
A Review-Driven Neural Model for Sequential Recommendation. - Wen-Pu Cai, Wu-Jun Li:
Weight Normalization based Quantization for Deep Neural Network Compression. - Swanand Kadhe, Anoosheh Heidarzadeh, Alex Sprintson, Onur Ozan Koyluoglu:
On an Equivalence Between Single-Server PIR with Side Information and Locally Recoverable Codes. - David Naori, Danny Raz:
Online Multidimensional Packing Problems in the Random-Order Model. - Yutong Wang, Jiyuan Zheng, Qijiong Liu, Zhou Zhao, Jun Xiao, Yueting Zhuang:
Weak Supervision Enhanced Generative Network for Question Generation. - Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network. - Alan Lukezic, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiri Matas, Matej Kristan:
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. - Tong Guo, Huilin Gao:
Using Database Rule for Weak Supervised Text-to-SQL Generation. - Bashar Alhnaity, Simon Pearson, Georgios Leontidis, Stefanos D. Kollias:
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments. - Nilabjo Dey, Janak Sharda, Utkarsh Saxena, Divya Kaushik, Utkarsh Singh, Debanjan Bhowmik:
On-chip learning in a conventional silicon MOSFET based Analog Hardware Neural Network. - Sebastian Ochmann, Richard Vock, Reinhard Klein:
Automatic reconstruction of fully volumetric 3D building models from point clouds. - Gernot Salzer, Agata Ciabattoni, Christian G. Fermüller, Martin Haiduk, Harald Kittler, Arno Lukas, Rosa María Rodríguez Domínguez, Antonia Wesinger, Elisabeth Riedl:
Dermtrainer: A Decision Support System for Dermatological Diseases. - Samuel Joutard, Reuben Dorent, Amanda Isaac, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Permutohedral Attention Module for Efficient Non-Local Neural Networks. - Qi She, Anqi Wu:
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. - Ashley Daniel Gritzman:
Avoiding Implementation Pitfalls of "Matrix Capsules with EM Routing" by Hinton et al. - Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, Sylvain Gigan:
Optical Reservoir Computing using multiple light scattering for chaotic systems prediction. - Miguel Domingo, Francisco Casacuberta:
Modernizing Historical Documents: a User Study. - Yusuke Yamaura, Nobuya Kanemaki, Yukihiro Tsuboshita:
The Resale Price Prediction of Secondhand Jewelry Items Using a Multi-modal Deep Model with Iterative Co-Attention. - Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. - Sebastian Götschel, Martin Weiser:
Lossy Compression for Large Scale PDE Problems. - Bruno R. C. Magalhães, Michael L. Hines, Thomas Sterling, Felix Schürmann:
Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks. - Sergio Barrachina-Muñoz, Francesc Wilhelmi, Boris Bellalta:
Online Primary Channel Selection for Dynamic Channel Bonding in High-Density WLANs. - Frank Kammer, Johannes Meintrup, Andrej Sajenko:
Space-Efficient Vertex Separators for Treewidth. - Simon Hacks, Hendrik Höfert, Johannes Salentin, Yoon Chow Yeong, Horst Lichter:
Towards the Definition of Enterprise Architecture Debts. - Alexandre Quemy:
Two-stage Optimization for Machine Learning Workflow. - Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik:
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. - Juliana Miehle, Louisa Pragst, Wolfgang Minker, Stefan Ultes:
Enabling Dialogue Management with Dynamically Created Dialogue Actions. - Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu:
A Capsule Network for Recommendation and Explaining What You Like and Dislike. - Sihem Sahnoun:
Event extraction based on open information extraction and ontology. - Toshiki Nakamura, Anna Zhu, Seiichi Uchida:
Scene Text Magnifier. - Sibylle Hess, Nico Piatkowski, Katharina Morik:
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. - Chunkai Zhang, Yingyang Chen, Ao Yin, Zhen Qin, Xing Zhang, Keli Zhang, Zoe Lin Jiang:
An Improvement of PAA on Trend-Based Approximation for Time Series. - Chunkai Zhang, Yingyang Chen, Ao Yin:
Anomaly Subsequence Detection with Dynamic Local Density for Time Series. - François-Xavier Aubet, Dominic Danks, Yuchen Zhu:
EQuANt (Enhanced Question Answer Network). - Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Deep Conversational Recommender in Travel. - Robert Sison, Toby C. Murray:
Verifying that a compiler preserves concurrent value-dependent information-flow security. - Fuyuan Xiao:
Evidential distance measure in complex belief function theory. - Chunlong Sun, Yu Jiang, Jijun Liu, Manabu Machida, Gen Nakamura, Goro Nishimura:
Recovering the distribution of fluorophore for FDOT using cuboid approximation. - Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. - Shimei Pan, Tao Ding:
Social Media-based User Embedding: A Literature Review. - Matias Valdenegro-Toro:
Learning Objectness from Sonar Images for Class-Independent Object Detection. - Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
From Bilingual to Multilingual Neural Machine Translation by Incremental Training. - Oladele Theophilus Sule, Roberto Rojas-Cessa:
TRIDENT: A load-balancing Clos-network Packet Switch with Queues between Input and Central Stages and In-Order Forwarding. - Tadeusz Kobus, Maciej Kokocinski, Pawel T. Wojciechowski:
Creek: a General Mixed-Consistency Transactional Replication Scheme. - Vidyasagar Sadhu, Teruhisa Misu, Dario Pompili:
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data. - Zack Fitzsimmons, Martin Lackner:
Incomplete Preferences in Single-Peaked Electorates. - Aciel Eshky, Manuel Sam Ribeiro, Korin Richmond, Steve Renals:
Synchronising audio and ultrasound by learning cross-modal embeddings. - Blake E. Woodworth, Nathan Srebro:
Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory. - Tristan Stérin:
First Occurrence of Parity Vectors and the Regular Structure of k-Span Predecessor Sets in the Collatz Graph. - Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu:
Collecting and Analyzing Multidimensional Data with Local Differential Privacy. - Eralp Turgay, Cem Bulucu, Cem Tekin:
Exploiting Relevance for Online Decision-Making in High-Dimensions. - Charles Pillet, Valerio Bioglio, Carlo Condo:
On list decoding of 5G-NR polar codes. - Frank Gurski, Dominique Komander, Carolin Rehs:
On Characterizations for Subclasses of Directed Co-Graphs. - Takahiro Wada:
Simultaneous Achievement of Driver Assistance and Skill Development in Shared and Cooperative Controls. - Sijing Li, Zhiwen Zhang, Hongkai Zhao:
A data-driven approach for multiscale elliptic PDEs with random coefficients based on intrinsic dimension reduction. - Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez:
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations. - Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki:
Location Anomalies Detection for Connected and Autonomous Vehicles. - Matthew Joseph, Jieming Mao, Aaron Roth:
Exponential Separations in Local Differential Privacy Through Communication Complexity. - Jørgen Bang-Jensen, Thomas Bellitto, William Lochet, Anders Yeo:
The directed 2-linkage problem with length constraints. - Kexin Wang, Yu Zhou, Shaonan Wang, Jiajun Zhang, Chengqing Zong:
Understanding Memory Modules on Learning Simple Algorithms. - Nikola Simidjievski, Ljupco Todorovski, Jus Kocijan, Saso Dzeroski:
Equation Discovery for Nonlinear System Identification. - Xin Zhao, Philipp Haller:
On consistency types for lattice-based distributed programming languages. - Hugo Scurto, Bavo Van Kerrebroeck, Baptiste Caramiaux, Frédéric Bevilacqua:
Designing Deep Reinforcement Learning for Human Parameter Exploration. - Raven Beutner, Bernd Finkbeiner, Jesko Hecking-Harbusch:
Translating Asynchronous Games for Distributed Synthesis (Full Version). - Young-Chul Yoon, Du Yong Kim, Kwangjin Yoon, Young-min Song, Moongu Jeon:
Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association. - Xing Gao, Hongkai Xiong, Pascal Frossard:
iPool - Information-based Pooling in Hierarchical Graph Neural Networks. - Aciel Eshky, Manuel Sam Ribeiro, Joanne Cleland, Korin Richmond, Zoe Roxburgh, James M. Scobbie, Alan Wrench:
UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions. - Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, Christian Theobalt:
XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera. - Gert-Jan Bottu, Ningning Xie, Koar Marntirosian, Tom Schrijvers:
Coherence of Type Class Resolution. - Liudmila Prokhorenkova:
Graph-based Nearest Neighbor Search: From Practice to Theory. - Andrea Beretta, Massimo Zancanaro, Bruno Lepri:
Following wrong suggestions: self-blame in human and computer scenarios. - Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni:
EGG: a toolkit for research on Emergence of lanGuage in Games. - Shirish Hirekodi, Seban Sunny, Leonard Topno, Alwin Daniel, Daniel Whitenack, Reuben Skewes, Stuart Cranney:
Katecheo: A Portable and Modular System for Multi-Topic Question Answering. - Martin Leinberger, Philipp Seifer, Claudia Schon, Ralf Lämmel, Steffen Staab:
Type Checking Program Code using SHACL (Extended Version). - Manuel Rigger, Stefan Marr, Bram Adams, Hanspeter Mössenböck:
Understanding GCC Builtins to Develop Better Tools. - Lucas Beyer, Damien Vincent, Olivier Teboul, Sylvain Gelly, Matthieu Geist, Olivier Pietquin:
MULEX: Disentangling Exploitation from Exploration in Deep RL. - Marcin Wrochna, Stanislav Zivný:
Improved hardness for H-colourings of G-colourable graphs. - Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp:
System Misuse Detection via Informed Behavior Clustering and Modeling. - Jan Niclas Reimann, Andreas Schwung:
Neural Logic Rule Layers. - Ítalo A. S. Assis, Antônio D. S. Oliveira, Tiago Barros, Idalmis M. Sardina, Calebe P. Bianchini, Samuel Xavier de Souza:
Distributed-Memory Load Balancing with Cyclic Token-based Work-Stealing Applied to Reverse Time Migration. - Rahul Goel, Shachi Paul, Dilek Hakkani-Tür:
HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking. - Nick Denis:
On mechanisms for transfer using landmark value functions in multi-task lifelong reinforcement learning. - Xudong Feng, Jiafeng Liu, Huamin Wang, Yin Yang, Hujun Bao, Bernd Bickel, Weiwei Xu:
Computational Design of Skinned Quad-Robots. - Roland S. Zimmermann:
Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network". - Zixuan Zhang:
Engineering Token Economy with System Modeling. - Antonio Toral:
Post-editese: an Exacerbated Translationese. - Reza Rahimian, Shayan Eskandari, Jeremy Clark:
Resolving the Multiple Withdrawal Attack on ERC20 Tokens. - Pieter Gijsbers, Erin LeDell, Janek Thomas, Sébastien Poirier, Bernd Bischl, Joaquin Vanschoren:
An Open Source AutoML Benchmark. - Emil Ringh, Elias Jarlebring:
Nonlinearizing two-parameter eigenvalue problems. - Kalesha Bullard, Yannick Schroecker, Sonia Chernova:
Active Learning within Constrained Environments through Imitation of an Expert Questioner. - Giorgia Franchini, Mathilde Galinier, Micaela Verucchi:
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning. - Peng Zou, Omur Ozel, Suresh Subramaniam:
Trading Off Computation with Transmission in Status Update Systems. - Marijn J. H. Heule:
Trimming Graphs Using Clausal Proof Optimization. - Weikun Zhen, Yaoyu Hu, Jingfeng Liu, Sebastian A. Scherer:
A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions. - Guido Muscioni, Riccardo Pressiani, Matteo Foglio, Margaret C. Crofoot, Marco D. Santambrogio, Tanya Y. Berger-Wolf:
A Framework For Identifying Group Behavior Of Wild Animals. - Angelika Adensamer, Lukas Daniel Klausner:
Ich weiß, was du nächsten Sommer getan haben wirst: Predictive Policing in Österreich. - Lianying Zhao, Joseph I. Choi, Didem Demirag, Kevin R. B. Butler, Mohammad Mannan, Erman Ayday, Jeremy Clark:
One-Time Programs made Practical. - Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin:
Semantic Product Search. - Marc Eder, Pierre Moulon, Li Guan:
Pano Popups: Indoor 3D Reconstruction with a Plane-Aware Network. - Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano:
Estimating brain age based on a healthy population with deep learning and structural MRI. - Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier:
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. - Alex X. Lee, Anusha Nagabandi, Pieter Abbeel, Sergey Levine:
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model. - Michael Amir, Alfred M. Bruckstein:
Fast and Reliable Dispersal of Crash-Prone Agents on Graphs. - Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. - Eric-Tuan Le, Iasonas Kokkinos, Niloy J. Mitra:
Going Deeper with Point Networks. - Alex Bihlo, James Jackaman, Francis Valiquette:
On the development of symmetry-preserving finite element schemes for ordinary differential equations. - Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding:
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. - David Hofbauer, Christoph Schmittner, Manuela Brandstetter, Markus Tauber:
Autonomous CPS mobility securely designed. - Philippe Esling, Naotake Masuda, Adrien Bardet, Romeo Despres, Axel Chemla-Romeu-Santos:
Universal audio synthesizer control with normalizing flows. - Alaadin Addas, Julie Thorpe, Amirali Salehi-Abari:
Geographical Security Questions for Fallback Authentication. - Felice De Luca, Md. Iqbal Hossain, Stephen G. Kobourov:
Symmetry Detection and Classification in Drawings of Graphs. - Denis Davydov, Martin Kronbichler:
Algorithms and data structures for matrix-free finite element operators with MPI-parallel sparse multi-vectors. - Serge Gaspers, Ray Li:
Enumeration of Preferred Extensions in Almost Oriented Digraphs. - David Melhart, Antonios Liapis, Georgios N. Yannakakis:
PAGAN: Video Affect Annotation Made Easy. - Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency:
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization. - Samuel Epstein:
Information Kernels. - Valerio Formicola, Saurabh Jha, Daniel Chen, Fei Deng, Amanda Bonnie, Mike Mason, Jim M. Brandt, Ann C. Gentile, Larry Kaplan, Jason Repik, Jeremy Enos, Mike Showerman, Annette Greiner, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Bill Kramer:
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo. - Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. - Nader Asadi, AmirMohammad Sarfi, Sahba Tahsini, Mahdi Eftekhari:
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation. - Saurabh Jha, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors. - Zheng Sun, Cory D. Hauck:
Low-memory, discrete ordinates, discontinuous Galerkin methods for radiative transport. - Giulio Ermanno Pibiri:
On Slicing Sorted Integer Sequences. - Guy Gaziv:
Learning to aggregate feature representations. - Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva:
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. - Lakshay Sharma, Laura Graesser, Nikita Nangia, Utku Evci:
Natural Language Understanding with the Quora Question Pairs Dataset. - Sören Henning, Wilhelm Hasselbring, Armin Möbius:
A Scalable Architecture for Power Consumption Monitoring in Industrial Production Environments. - Maen Alzubi, Szilveszter Kovács:
Investigating The Piece-Wise Linearity And Benchmark Related To Koczy-Hirota Fuzzy Linear Interpolation. - Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. - Zixu Wang, Julia Ive, Sumithra Velupillai, Lucia Specia:
Is artificial data useful for biomedical Natural Language Processing. - Maxime Istasse, Julien Moreau, Christophe De Vleeschouwer:
Associative Embedding for Game-Agnostic Team Discrimination. - Gustavo Borges Moreno e Mello, Vibeke Devold Valderhaug, Sidney Pontes-Filho, Evi Zouganeli, Ioanna Sandvig, Stefano Nichele:
DeepTEGINN: Deep Learning Based Tools to Extract Graphs from Images of Neural Networks. - Rok Cesnovar, Steve Bronder, Davor Sluga, Jure Demsar, Tadej Ciglaric, Sean Talts, Erik Strumbelj:
GPU-based Parallel Computation Support for Stan. - Shuai Han, Sai Xu, Weixiao Meng, Lei He:
Channel-Correlation-Enabled Transmit Optimization for MISO Wiretap Channels. - Sihem Mesnager, Longjiang Qu:
On two-to-one mappings over finite fields. - Pedro H. M. Braga, Hansenclever de F. Bassani:
A Semi-Supervised Self-Organizing Map for Clustering and Classification. - Nathaniel Tucker, Berkay Turan, Mahnoosh Alizadeh:
Online Charge Scheduling for Electric Vehicles in Autonomous Mobility on Demand Fleets. - Florian Zuleger:
The Polynomial Complexity of Vector Addition Systems with States. - Ken Duffy, Amit Solomon, Kishori M. Konwar, Muriel Médard:
5G NR CA-Polar Maximum Likelihood Decoding by GRAND. - Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic:
Quantization in Compressive Sensing: A Signal Processing Approach. - Onur Günlü, Rafael F. Schaefer, Gerhard Kramer:
Private Authentication with Physical Identifiers Through Broadcast Channel Measurements. - Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, Leonidas J. Guibas:
Multiview Aggregation for Learning Category-Specific Shape Reconstruction. - Pedro H. M. Braga, Hansenclever de F. Bassani:
A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds. - Tae Jong Choi, Julian Togelius, Yun-Gyung Cheong:
ACM-DE: Adaptive p-best Cauchy Mutation with linear failure threshold reduction for Differential Evolution in numerical optimization. - Piyush Papreja, Hemanth Venkateswara, Sethuraman Panchanathan:
Representation, Exploration and Recommendation of Music Playlists. - Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. - Kashif Zia, Arshad Muhammad, Dinesh Kumar Saini:
A Simulation Study of Social-Networking-Driven Smart Recommendations for Internet of Vehicles. - Ravimal Bandara, Lochandaka Ranathunga, Nor Aniza Abdullah:
Nature Inspired Dimensional Reduction Technique for Fast and Invariant Visual Feature Extraction. - Kai Ming Ting, Jonathan R. Wells, Takashi Washio:
Isolation Kernel: The X Factor in Efficient and Effective Large Scale Online Kernel Learning. - Ossian O'Reilly, N. Anders Petersson:
Energy conservative SBP discretizations of the acoustic wave equation in covariant form on staggered curvilinear grids. - Samad Noeiaghdam, Emran Khoshrouye Ghiasi:
An efficient method to solve the mathematical model of HIV infection for CD8+ T-cells. - Chaitanya Ahuja, Louis-Philippe Morency:
Language2Pose: Natural Language Grounded Pose Forecasting. - Yongjune Kim, Won Ho Choi, Cyril Guyot, Yuval Cassuto:
On the Optimal Refresh Power Allocation for Energy-Efficient Memories. - Guang-Jing Song, Michael K. Ng, Xiongjun Zhang:
Robust Tensor Completion Using Transformed Tensor SVD. - Nick Walker, Yu-Tang Peng, Maya Cakmak:
Neural Semantic Parsing with Anonymization for Command Understanding in General-Purpose Service Robots. - Amir M. Mirzendehdel, Morad Behandish, Saigopal Nelaturi:
Exploring Feasible Design Spaces for Heterogeneous Constraints. - Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang:
Neural Machine Reading Comprehension: Methods and Trends. - Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang:
An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. - Jonathan N. Lee, Aldo Pacchiano, Michael I. Jordan:
Approximate Sherali-Adams Relaxations for MAP Inference via Entropy Regularization. - Cibele Freire, Wolfgang Gatterbauer, Neil Immerman, Alexandra Meliou:
New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins. - Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston H. Hsu:
Learnable Gated Temporal Shift Module for Deep Video Inpainting. - Moming Duan:
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications. - Fei Wei, Michael Langberg, Michelle Effros:
A Local Perspective on the Edge Removal Problem. - Jehanzeb Hameed Chaudhry, Donald J. Estep, Simon Tavener:
A posteriori error analysis for Schwarz overlapping domain decomposition methods. - Qing Song, Yao Guo, Jianan Jiang, Chun Liu, Mengjie Hu:
High-speed Railway Fastener Detection and Localization Method based on convolutional neural network. - Yuchen He, Martin Huska, Sung Ha Kang, Hao Liu:
Fast Algorithms for Surface Reconstruction from Point Cloud. - Honglun Zhang, Wenqing Chen, Hao He, Yaohui Jin:
Disentangled Makeup Transfer with Generative Adversarial Network. - Yi Zhang, Chao Zhang, Takuya Akashi:
Multi-scale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment. - Patrick Hutchings, Jon McCormack:
Adaptive Music Composition for Games. - Peishi Jiang, Praveen Kumar:
Bundled Causal History Interaction. - Gordon Wichern, Joe Antognini, Michael Flynn, Licheng Richard Zhu, Emmett McQuinn, Dwight Crow, Ethan Manilow, Jonathan Le Roux:
WHAM!: Extending Speech Separation to Noisy Environments. - Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch:
Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points. - Ashis Pati, Alexander Lerch, Gaëtan Hadjeres:
Learning to Traverse Latent Spaces for Musical Score Inpainting. - Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi:
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems. - Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. - Ramchandra Phawade:
Kleene Theorems for Free Choice Nets Labelled with Distributed Alphabets. - Linh Nguyen, Jaime Valls Miró, Xiaojun Qiu:
Can a Robot Hear the Shape and Dimensions of a Room? - Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. - Noor Al-Shakarji, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, Kannappan Palaniappan:
Multi-Cue Vehicle Detection for Semantic Video Compression In Georegistered Aerial Videos. - Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso:
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy. - Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
A Framework for Evaluating Snippet Generation for Dataset Search. - Linh Nguyen, Jaime Valls Miró, Lei Shi, Teresa A. Vidal-Calleja:
Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation. - Minho Park, Hak Gu Kim, Yong Man Ro:
Generative Guiding Block: Synthesizing Realistic Looking Variants Capable of Even Large Change Demands. - Jingchao Chen:
Core First Unit Propagation. - Vishwanath A. Sindagi, Vishal M. Patel:
Inverse Attention Guided Deep Crowd Counting Network. - Tonghua Tian, Yongyong Cai, Xinming Wu, Zaiwen Wen:
Ground states and their characterization of spin-F Bose-Einstein condensates. - Dan Oneata, Horia Cucu:
Kite: Automatic speech recognition for unmanned aerial vehicles. - Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei, Seyum Assefa Abebe, Salvatore Orlando:
Treant: Training Evasion-Aware Decision Trees. - Qinmeng Zou, Guillaume Gbikpi-Benissan, Frédéric Magoulès:
Asynchronous Parareal Algorithm Applied to European Option Pricing. - Qinmeng Zou, Guillaume Gbikpi-Benissan, Frédéric Magoulès:
Asynchronous Communications Library for the Parallel-in-Time Solution of Black-Scholes Equation. - Qinmeng Zou, Frédéric Magoulès:
A New Cyclic Gradient Method Adapted to Large-Scale Linear Systems. - Qinmeng Zou, Frédéric Magoulès:
Convergence Detection of Asynchronous Iterations based on Modified Recursive Doubling. - Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Chang Huang, Wenyu Liu, Xinggang Wang:
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation. - Jürgen Scherer, Bernhard Rinner:
Persistent Multi-UAV Surveillance with Data Latency Constraints. - Paul Gastin, Amaldev Manuel, R. Govind:
Logics for Reversible Regular Languages and Semigroups with Involution. - Moshe Kravchik, Asaf Shabtai:
Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks. - Artem Kaznatcheev, David A. Cohen, Peter G. Jeavons:
Representing fitness landscapes by valued constraints to understand the complexity of local search. - Kun Zhao, Takayuki Osogami, Tetsuro Morimura:
Visual analytics for team-based invasion sports with significant events and Markov reward process. - Jake Chandler, Richard Booth:
Elementary Iterated Revision and the Levi Identity. - Chae Young Lee, Youngmin Baek, Hwalsuk Lee:
TedEval: A Fair Evaluation Metric for Scene Text Detectors. - Stav Ashur, Omrit Filtser, Matthew J. Katz:
A Constant-Factor Approximation Algorithm for Vertex Guarding a WV-Polygon. - Lorenzo Clemente, Piotr Hofman, Patrick Totzke:
Timed Basic Parallel Processes. - Nicolas Grelier, Saeed Gh. Ilchi, Tillmann Miltzow, Shakhar Smorodinsky:
On the VC-dimension of convex sets and half-spaces. - Marcel Radermacher, Ignaz Rutter:
Geometric Crossing-Minimization - A Scalable Randomized Approach. - Yanxia Qian, Shuonan Wu, Fei Wang:
A mixed discontinuous Galerkin method with symmetric stress for Brinkman problem based on the velocity-pseudostress formulation. - Nils Margenberg, Thomas Richter:
Parallel time-stepping for fluid-structure interactions. - Erdi Çalli, Keelin Murphy, Ecem Sogancioglu, Bram van Ginneken:
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis. - Yo Joong Choe, Jiyeon Ham, Kyubyong Park, Yeoil Yoon:
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning. - Dan R. Ghica, Koko Muroya, Todd Waugh Ambridge:
Local Reasoning for Robust Observational Equivalence. - Peter Stefanov, Kareem Darwish, Preslav Nakov:
Predicting the Topical Stance of Media and Popular Twitter Users. - Rajeev Goré, Björn Lellmann:
Syntactic cut-elimination and backward proof-search for tense logic via linear nested sequents (Extended version). - Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. - Swathikiran Sudhakaran, Oswald Lanz:
An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective. - Rohit Gupta, Patrik Lambert, Raj Nath Patel, John Tinsley:
Improving Robustness in Real-World Neural Machine Translation Engines. - Mario Carneiro:
Specifying verified x86 software from scratch. - Pranay Dugar, Anirban Chatterjee, Rajesh Shreedhar Bhat, Saswata Sahoo:
Semi-Bagging Based Deep Neural Architecture to Extract Text from High Entropy Images. - Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio:
Learning the Arrow of Time. - Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar:
Bandit Learning Through Biased Maximum Likelihood Estimation. - Rocco Trombetti, Ferdinando Zullo:
On the list decodability of Rank Metric codes. - Erik Sy, Tobias Mueller, Moritz Moennich, Hannes Federrath:
Accelerating QUIC's Connection Establishment on High-Latency Access Networks. - Dirk Trossen, Sebastian Robitzsch, Scott Hergenhan, Janne Riihijärvi, Martin J. Reed, Mays F. Al-Naday:
Service-based Routing at the Edge. - Fabio Pizzati, Marco Allodi, Alejandro Barrera, Fernando García:
Lane Detection and Classification using Cascaded CNNs. - Yujiang Wang, Jie Shen, Mingzhi Dong, Yang Wu, Shiyang Cheng, Maja Pantic:
Dynamic Face Video Segmentation via Reinforcement Learning. - Ekaterina Komendantskaya, Rob Stewart, Kirsty Duncan, Daniel Kienitz, Pierre Le Hen, Pascal Bacchus:
Neural Network Verification for the Masses (of AI graduates). - Erinc Merdivan, Sten Hanke, Matthieu Geist:
Modified Actor-Critics. - Amir Hossein Jadidinejad:
Learning to Reformulate the Queries on the WEB. - Dawei Li, Siyuan Yan, Xin Cai, Yan Cao, Sifan Wang:
An Integrated Image Filter for Enhancing Change Detection Results. - Mortaza Doulaty, Thomas Hain:
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition. - Anders Edelbo Lillie, Emil Refsgaard Middelboe:
Danish Stance Classification and Rumour Resolution. - Martin Kiss, Michal Hradis, Oldrich Kodym:
Brno Mobile OCR Dataset. - Palash Sarkar, Sudhan Majhi:
A Direct Construction of Optimal ZCCS and IGC Code Set With Maximum Column Sequence PMEPR Two For MC-CDMA System. - Rihab Abdul Razak, Srikant Sukumar, Hoam Chung:
Scalar Field Estimation with Mobile Sensor Networks. - Simon Etter, Daniel Massatt, Mitchell Luskin, Christoph Ortner:
Modeling and Computation of Kubo Conductivity for 2D Incommensurate Bilayers. - Jonas Bushart, Christian Rossow:
Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS. - Luís Caires, Jorge A. Pérez, Frank Pfenning, Bernardo Toninho:
Domain-Aware Session Types (Extended Version). - Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye:
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. - Sascha Kurz, Issofa Moyouwou, Hilaire Touyem:
An Axiomatization of the Shapley-Shubik Index for Interval Decisions. - Mariella Bonomo, Gaspare Ciaccio, Andrea De Salve, Simona E. Rombo:
A Semantic Approach for User-Brand Targeting in On-Line Social Networks. - Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen:
Knowledge Graph Embedding for Ecotoxicological Effect Prediction. - Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause:
Mixed-Variable Bayesian Optimization. - Axel Uran, Coert Van Gemeren, Rosanne van Diepen, Ricardo Chavarriaga, José del R. Millán:
Applying Transfer Learning To Deep Learned Models For EEG Analysis. - Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez:
Sequence Labeling Parsing by Learning Across Representations. - Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. - Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk:
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation. - Christoph Raab, Frank-Michael Schleif:
Domain Adaptation via Low-Rank Basis Approximation. - Jiadong Xiao, Lin Li, Tie Zhang, Yanbiao Zou:
Time-optimal path tracking for industrial robot: A model-free reinforcement approach. - David Guzman, Richard Schöffauer, Gerhard Wunder:
Predictive Network Control in Multi-Connectivity Mobility for URLLC Services. - Takahiro Sekoguchi, Yuki Sakai, Hideyoshi Yanagisawa:
Mathematical Model of Emotional Habituation to Novelty: Modeling with Bayesian Update and Information Theory. - Véronique Bruyère, Quentin Hautem, Mickael Randour, Jean-François Raskin:
Energy mean-payoff games. - Matias Tassano, Julie Delon, Thomas Veit:
FastDVDnet: Towards Real-Time Video Denoising Without Explicit Motion Estimation. - Peter Ström, Kimmo Kartasalo, Henrik Olsson, Leslie Solorzano, Brett Delahunt, Daniel M. Berney, David G. Bostwick, Andrew J. Evans, David J. Grignon, Peter A. Humphrey, Kenneth A. Iczkowski, James G. Kench, Glen Kristiansen, Theodorus H. van der Kwast, Katia R. M. Leite, Jesse K. McKenney, Jon Oxley, Chin-Chen Pan, Hemamali Samaratunga, John R. Srigley, Hiroyuki Takahashi, Toyonori Tsuzuki, Murali Varma, Ming Zhou, Johan Lindberg, Cecilia Bergström, Pekka Ruusuvuori, Carolina Wählby, Henrik Grönberg, Mattias Rantalainen, Lars Egevad, Martin Eklund:
Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence. - Christian Altenhofen, Marco Attene, Oliver J. D. Barrowclough, Michele Chiumenti, Marco Livesu, Federico Marini, Massimiliano Martinelli, Vibeke Skytt, Lorenzo Tamellini:
Parametric shape optimization for combined additive-subtractive manufacturing. - Yikun Hu, Hui Wang, Yuanyuan Zhang, Bodong Li, Dawu Gu:
A Semantics-Based Hybrid Approach on Binary Code Similarity Comparison. - Robert Bredereck, Jiehua Chen, Dusan Knop, Junjie Luo, Rolf Niedermeier:
Adapting Stable Matchings to Evolving Preferences. - Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller:
Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction. - Georgios Grekas, Konstantinos Koumatos, Charalambos G. Makridakis, Phoebus Rosakis:
Approximations of cell-induced phase transitions in fibrous biomaterials: Γ-convergence analysis. - Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui:
Voting-Based Multi-Agent Reinforcement Learning. - Peter Elbau, Monika Ritsch-Marte, Otmar Scherzer, Denise Schmutz:
Inverse Problems of Trapped Objects. - Fei Feng, Jiajia Luo:
CSSegNet: Fine-Grained Cardiac Structures Segmentation Using Dilated Pyramid Pooling in U-net. - Linan Huang, Quanyan Zhu:
Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense. - Xiu Ye, Shangyou Zhang:
A conforming discontinuous Galerkin finite element method: Part II. - Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos:
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models. - Narges Gholipoor, Saeedeh Parsaeefard, Mohammad Reza Javan, Nader Mokari, Hamid Saeedi, Hossein Pishro-Nik:
Resource Management and Admission Control for Tactile Internet in Next Generation of RAN. - Xingyu Li, Mainak Mitra, Bogdan I. Epureanu:
Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition. - Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi:
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. - Julien Fauqueur, Ashok Thillaisundaram, Theodosia Togia:
Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns. - Sai Kiran Narayanaswami, Balaraman Ravindran, Venkatesh Ramaiyan:
Generalized Random Surfer-Pair Models. - Xiaoyu Du, Mark Scanlon:
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts. - Haojian Jin, Vita Chen, Ritwik Rajendra, Jason I. Hong:
Enhancing Email Functionality using Late Bound Content. - Ruizheng Wu, Xiaodong Gu, Xin Tao, Xiaoyong Shen, Yu-Wing Tai, Jiaya Jia:
Landmark Assisted CycleGAN for Cartoon Face Generation. - Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon:
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning. - Issam H. Laradji, David Vázquez, Mark Schmidt:
Where are the Masks: Instance Segmentation with Image-level Supervision. - Peng Lu, Hao Zhang, Xujun Peng, Xiaofu Jin:
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos. - Alaa Maalouf, Adiel Statman, Dan Feldman:
Tight Sensitivity Bounds For Smaller Coresets. - Preethi Lahoti, Krishna P. Gummadi, Gerhard Weikum:
Operationalizing Individual Fairness with Pairwise Fair Representations. - Jens Van den Broeck, Bart Coppens, Bjorn De Sutter:
Extended Report on the Obfuscated Integration of Software Protections. - Sander R. Dahmen, Johannes Hölzl, Robert Y. Lewis:
Formalizing the Solution to the Cap Set Problem. - Daniel Etiemble:
Evolution of Technologies and Multivalued Circuits. - Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia:
Attribute-Driven Spontaneous Motion in Unpaired Image Translation. - Son Duy Dao:
A Note On The Popularity of Stochastic Optimization Algorithms in Different Fields: A Quantitative Analysis from 2007 to 2017. - Shahrzad Naseri, Sheikh Muhammad Sarwar, James Allan:
Semantic Driven Fielded Entity Retrieval. - Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Marzyeh Ghassemi, Luca Foschini:
Reproducibility in Machine Learning for Health. - Moritz Eck, Fabio Palomba, Marco Castelluccio, Alberto Bacchelli:
Understanding Flaky Tests: The Developer's Perspective. - Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, Jane Winters:
How we do things with words: Analyzing text as social and cultural data. - Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample, Hervé Jégou, Armand Joulin:
Augmenting Self-attention with Persistent Memory. - Paul C. Bell, Mika Hirvensalo:
Acceptance Ambiguity for Quantum Automata. - Teguh Santoso Lembono, Antonio Paolillo, Emmanuel Pignat, Sylvain Calinon:
Memory of Motion for Warm-starting Trajectory Optimization. - Zachary Kenton, Angelos Filos, Owain Evans, Yarin Gal:
Generalizing from a few environments in safety-critical reinforcement learning. - Canwen Xu, Zhenzhong Chen, Chenliang Li:
Obj-GloVe: Scene-Based Contextual Object Embedding. - Amir Averbuch, Pekka Neittaanmäki, Valery A. Zheludev:
Analytic and directional wavelet packets in the space of periodic signals. - Shreyas Hampali, Markus Oberweger, Mahdi Rad, Vincent Lepetit:
HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation. - Kshiteej Mahajan, Arjun Singhvi, Arjun Balasubramanian, Varun Batra, Surya Teja Chavali, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla:
Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads. - Fattaneh Bayatbabolghani, Bharath Ramsundar:
Secure Computation in Decentralized Data Markets. - Jan Niklas Fuhg, Amelie Fau:
An innovative adaptive kriging approach for efficient binary classification of mechanical problems. - Deniz Agaoglu:
Isomorphism Problem for Sd-graphs. - Lek-Heng Lim, Mateusz Michalek, Yang Qi:
Best k-layer neural network approximations. - Ori Shental, Jakob Hoydis:
"Machine LLRning": Learning to Softly Demodulate. - Boyu Zhou, Fei Gao, Luqi Wang, Chuhao Liu, Shaojie Shen:
Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight. - Bertie Vidgen, Taha Yasseri:
What, When and Where of petitions submitted to the UK Government during a time of chaos. - Uros Hercog, Andraz Povse:
Taint analysis of the Bitcoin network. - Siddhartha Devapujula, Sagar Arora, Sumit Borar:
Learning to Rank Broad and Narrow Queries in E-Commerce. - (Withdrawn) SVM Enhanced Frenet Frame Planner For Safe Navigation Amidst Moving Agents.
- Eberle A. Rambo, Bryan Donyanavard, Minjun Seo, Florian Maurer, Thawra Kadeed, Caio Batista de Melo, Biswadip Maity, Anmol Surhonne, Andreas Herkersdorf, Fadi J. Kurdahi, Nikil D. Dutt, Rolf Ernst:
The Information Processing Factory: Organization, Terminology, and Definitions. - Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock, Anderson C. A. Nascimento:
Protecting Privacy of Users in Brain-Computer Interface Applications. - Roy R. Lederman, Joakim Andén, Amit Singer:
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM. - Zachary A. Pardos, Weijie Jiang:
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System. - Guchong Li:
Multi-object Tracking in Unknown Detection Probability with the PMBM Filter. - Samuel McCauley:
Approximate Similarity Search Under Edit Distance Using Locality-Sensitive Hashing. - Wagner Felidré, Leonardo B. Furtado, Daniel Alencar da Costa, Bruno Cartaxo, Gustavo Pinto:
Continuous Integration Theater. - Katerina Papantoniou, Yannis Tzitzikas:
CS563-QA: A Collection for Evaluating Question Answering Systems. - Anna Belova, Wen He, Ziyi Zhong:
E-Sports Talent Scouting Based on Multimodal Twitch Stream Data. - Ahmad Biniaz:
A Short Proof of the Toughness of Delaunay Triangulations. - Clément L. Canonne, Anindya De, Rocco A. Servedio:
Learning from satisfying assignments under continuous distributions. - Guangzhi Tang, Ioannis E. Polykretis, Vladimir A. Ivanov, Arpit Shah, Konstantinos P. Michmizos:
Introducing Astrocytes on a Neuromorphic Processor: Synchronization, Local Plasticity and Edge of Chaos. - Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover:
Evolving the Hearthstone Meta. - Fabian Frei, Koichi Wada:
Efficient Circuit Simulation in MapReduce. - Paolo Pareti, George Konstantinidis, Timothy J. Norman, Murat Sensoy:
Rule Applicability on RDF Triplestore Schemas. - Juan José Besa Vial, Giordano Da Lozzo, Michael T. Goodrich:
Computing k-Modal Embeddings of Planar Digraphs. - Jeffrey Barratt, Brian Zhang:
Cache-Friendly Search Trees; or, In Which Everything Beats std: : set. - Daniel Schwalbe-Koda, Rafael Gómez-Bombarelli:
Generative Models for Automatic Chemical Design. - Clint P. George, Wei Xia, George Michailidis:
Analyses of Multi-collection Corpora via Compound Topic Modeling. - Syrine Krichene, Mike Gartrell, Clément Calauzènes:
Embedding models for recommendation under contextual constraints. - Fenglei Jin, Cuiyun Gao, Michael R. Lyu:
An Online Topic Modeling Framework with Topics Automatically Labeled. - Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai:
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. - Khalil Damak, Olfa Nasraoui:
SeER: An Explainable Deep Learning MIDI-based Hybrid Song Recommender System. - Moritz Schubotz, Philipp Scharpf, Kaushal Dudhat, Yash Nagar, Felix Hamborg, Bela Gipp:
Introducing MathQA - A Math-Aware Question Answering System. - Hemant Pugaliya, Karan Saxena, Shefali Garg, Sheetal Shalini, Prashant Gupta, Eric Nyberg, Teruko Mitamura:
Pentagon at MEDIQA 2019: Multi-task Learning for Filtering and Re-ranking Answers using Language Inference and Question Entailment. - Dimitrios Rafailidis, Gerhard Weiss:
A Neural Attention Model for Adaptive Learning of Social Friends' Preferences. - Dimitrios Rafailidis, Gerhard Weiss:
Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering. - Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang:
Bandit Learning for Diversified Interactive Recommendation. - Kálmán Szentannai, Jalal Al-Afandi, András Horváth:
MimosaNet: An Unrobust Neural Network Preventing Model Stealing. - Mohammad Keshavarzi, Luisa Caldas, Luis Santos:
RadVR: A 6DOF Virtual Reality Daylighting Analysis Tool. - Mojdeh Saadati, Jin Tian:
Adjustment Criteria for Recovering Causal Effects from Missing Data. - Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman:
Dynamics-Aware Unsupervised Discovery of Skills. - Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Neural Network for Interpreting Task-fMRI Biomarkers. - Hatem Hajri, Hadi Zaatiti, Georges Hébrail:
Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms. - Shuo Zhang:
Data mining Mandarin tone contour shapes. - Mihail Eric, Rahul Goel, Shachi Paul, Abhishek Sethi, Sanchit Agarwal, Shuyang Gao, Dilek Hakkani-Tür:
MultiWOZ 2.1: Multi-Domain Dialogue State Corrections and State Tracking Baselines. - Vivek K. Singh, Ishaan Singh:
Quantifying Algorithmic Biases over Time. - Manisha Panta, Avdesh Mishra, Md. Tamjidul Hoque, Joel Atallah:
Machine Learning based Prediction of Hierarchical Classification of Transposable Elements. - Anirudh Raju, Denis Filimonov, Gautam Tiwari, Guitang Lan, Ariya Rastrow:
Scalable Multi Corpora Neural Language Models for ASR. - Antonio Orvieto, Jonas Kohler, Aurélien Lucchi:
The Role of Memory in Stochastic Optimization. - James Parker, Michael Hicks, Andrew Ruef, Michelle L. Mazurek, Dave Levin, Daniel Votipka, Piotr Mardziel, Kelsey R. Fulton:
Build It, Break It, Fix It: Contesting Secure Development. - Kinzang Chhogyal, Abhaya C. Nayak, Aditya Ghose, Mehmet Ali Orgun:
On Conforming and Conflicting Values. - Sabari Nathan, Priya Kansal:
SkeletonNet: Shape Pixel to Skeleton Pixel. - Karim Cherifi, Kamel Hariche:
Solvents based model reduction of linear systems. - Xin Zhang, An Yang, Sujian Li, Yizhong Wang:
Machine Reading Comprehension: a Literature Review. - Gustavo Betarte, Maximiliano Cristiá, Carlos Luna, Adrián Silveira, Dante Zanarini:
Towards a formally verified implementation of the MimbleWimble cryptocurrency protocol. - Alejandro Cohen, Nir Shlezinger, Yonina C. Eldar, Muriel Médard:
Serial Quantization for Representing Sparse Signals. - Sai Krishna Kanth Hari, Abhishek Nayak, Sivakumar Rathinam:
An Approximation Algorithm for a Task Allocation, Sequencing and Scheduling Problem involving a Human-Robot Team. - Chenfeng Guo, Dongrui Wu:
Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview. - Hamidreza Amini Khorasgani, Hemanta K. Maji, Tamalika Mukherjee:
Estimating Gaps in Martingales and Applications to Coin-Tossing: Constructions and Hardness. - Sameera Horawalavithana, Adriana Iamnitchi:
On the Privacy of dK-Random Graphs. - (Withdrawn) A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images.
- Dongrui Wu, Jerry M. Mendel:
Recommendations on Designing Practical Interval Type-2 Fuzzy Systems. - Dounia Lakhmiri, Sébastien Le Digabel, Christophe Tribes:
HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search. - Takehiro Ito, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yoshio Okamoto:
Shortest Reconfiguration of Perfect Matchings via Alternating Cycles. - Chunkai Zhang, Yingyang Chen:
Time Series Anomaly Detection with Variational Autoencoders. - Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic:
Don't take it lightly: Phasing optical random projections with unknown operators. - C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Saurabh Nagrecha, Keegan E. Hines:
Graph Embeddings at Scale. - Wei Chen, Binghui Peng:
On Adaptivity Gaps of Influence Maximization under the Independent Cascade Model with Full Adoption Feedback. - Jialing Zhong, Hong-lin Liao, Bingquan Ji, Luming Zhang:
A fourth-order compact solver for fractional-in-time fourth-order diffusion equations. - Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang:
Compositional Structure Learning for Sequential Video Data. - Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Y. Lo:
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. - K. R. Arun, Saurav Samantaray:
Asymptotic Preserving and Low Mach Number Accurate IMEX Finite Volume Schemes for the Euler Equations. - Juntong Lin, Xuyun Yang, Peiwei Zheng, Hui Cheng:
End-to-end Decentralized Multi-robot Navigation in Unknown Complex Environments via Deep Reinforcement Learning. - Nai Bian, Feng Liang, Haisheng Fu, Bo Lei:
A Deep Image Compression Framework for Face Recognition. - Deepan Das, Deepak Mishra:
Unsupervised Anomalous Trajectory Detection for Crowded Scenes. - Min Chen, Yixue Hao, Hamid Gharavi, Victor C. M. Leung:
Cognitive Information Measurements: A New Perspective. - Étienne André:
What's decidable about parametric timed automata? - Darion Cassel, Yan Huang, Limin Jia:
Uncovering Information Flow Policy Violations in C Programs. - Yahya Sattar, Samet Oymak:
Quickly Finding the Best Linear Model in High Dimensions. - Zeyuan Wang, Josiah Poon, Simon K. Poon:
AMI-Net+: A Novel Multi-Instance Neural Network for Medical Diagnosis from Incomplete and Imbalanced Data. - Sarah Eberle, Francesco Florian, Ralf Hiptmair, Stefan A. Sauter:
A Stable Boundary Integral Formulation of an Acoustic Wave Transmission Problem with Mixed Boundary Conditions. - Charu Sharma, Deepak Nathani, Manohar Kaul:
Solving Partial Assignment Problems using Random Clique Complexes. - Chandan K. A. Reddy, Ross Cutler, Johannes Gehrke:
Supervised Classifiers for Audio Impairments with Noisy Labels. - Ariel Kulik, Kanthi K. Sarpatwar, Baruch Schieber, Hadas Shachnai:
Generalized Assignment via Submodular Optimization with Reserved Capacity. - Rui Liu, Xichan Zhu:
Statistical Characteristics of Driver Accelerating Behavior and Its Probability Model. - Zexin Cai, Yaogen Yang, Chuxiong Zhang, Xiaoyi Qin, Ming Li:
Polyphone Disambiguation for Mandarin Chinese Using Conditional Neural Network with Multi-level Embedding Features. - Jaewoong Choi, Hyun Seo, Suii Im, Myungju Kang:
Attention routing between capsules. - Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend:
On the Weaknesses of Reinforcement Learning for Neural Machine Translation. - Ba Dung Le, Guanhua Wang, Mehwish Nasim, Muhammad Ali Babar:
Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification. - Simina Brânzei, Fedor Sandomirskiy:
Algorithms for Competitive Division of Chores. - Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare, Qiyi Tang, Franck van Breugel:
Computing Probabilistic Bisimilarity Distances for Probabilistic Automata. - Kaijie Tu:
Accelerating Deconvolution on Unmodified CNN Accelerators for Generative Adversarial Networks - A Software Approach. - Tatsuhiro Tsuchiya:
Using binary decision diagrams for constraint handling in combinatorial interaction testing. - Mathis Fricke, Tomislav Maric, Dieter Bothe:
Contact line advection using the geometrical Volume-of-Fluid method. - Durkbin Cho, Rafael Vázquez Hernández:
BPX preconditioners for isogeometric analysis using analysis-suitable T-splines. - Shiva Pentyala, Mengwen Liu, Markus Dreyer:
Multi-Task Networks With Universe, Group, and Task Feature Learning. - Mark Burgess, Ewout Prangsma:
Koalja: from Data Plumbing to Smart Workspaces in the Extended Cloud. - Khaled Koutini, Hamid Eghbal-zadeh, Matthias Dorfer, Gerhard Widmer:
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. - Nahuel A. Villa, Johannes Englsberger, Pierre-Brice Wieber:
Sensitivity of Legged Balance Control to Uncertainties and Sampling Period. - Shaoze You, Hua Zhu, Menggang Li, Lei Wang, Chaoquan Tang:
Tracking system of Mine Patrol Robot for Low Illumination Environment. - Olga Slizovskaia, Emilia Gómez, Gloria Haro:
A Case Study of Deep-Learned Activations via Hand-Crafted Audio Features. - Panagiotis Charalampopoulos, Tomasz Kociumaka, Solon P. Pissis, Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Circular Pattern Matching with k Mismatches. - Hui Zhao, Yuanwei Liu, Ahmed Kamal Sultan-Salem, Mohamed-Slim Alouini:
A Simple Evaluation for the Secrecy Outage Probability Over Generalized-K Fading Channels. - Marcus Märtens, Dario Izzo, Andrej Krzic, Daniël Cox:
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks. - Guillaume Doras, Geoffroy Peeters:
Cover Detection using Dominant Melody Embeddings. - Bin Duan, Wei Wang, Hao Tang, Hugo Latapie, Yan Yan:
Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation. - Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic, Lars Kulik:
GeoPrune: Efficiently Finding Shareable Vehicles Based on Geometric Properties. - David Zuñiga-Noël, José-Raúl Ruiz-Sarmiento, Javier González Jiménez:
Intrinsic Calibration of Depth Cameras for Mobile Robots using a Radial Laser Scanner. - Noémie Debroux, John A. D. Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola Schönlieb:
A Variational Model Dedicated to Joint Segmentation, Registration and Atlas Generation for Shape Analysis. - Yahya Dogan, Hacer Yalim Keles:
Semi-supervised Image Attribute Editing using Generative Adversarial Networks. - Xiangxiang Chu, Bo Zhang, Ruijun Xu, Jixiang Li:
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. - Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang:
Deformable Tube Network for Action Detection in Videos. - Stefan Vlaski, Ali H. Sayed:
Distributed Learning in Non-Convex Environments - Part II: Polynomial Escape from Saddle-Points. - Aqeel Labash, Jaan Aru, Tambet Matiisen, Ardi Tampuu, Raul Vicente:
Perspective Taking in Deep Reinforcement Learning Agents. - Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang, Hugo Hammer, Gustavo B. M. Mello, Ioanna Sandvig, Gunnar Tufte, Stefano Nichele:
A general representation of dynamical systems for reservoir computing. - Patricio Cerda, Gaël Varoquaux:
Encoding high-cardinality string categorical variables. - Fairouz Zobiri, Nacim Meslem, Brigitte Bidégaray-Fesquet:
Self-triggered stabilizing controllers for linear continuous-time systems. - Costas Iordanou, Nicolas Kourtellis, Juan Miguel Carrascosa, Claudio Soriente, Rubén Cuevas, Nikolaos Laoutaris:
Beyond content analysis: Detecting targeted ads via distributed counting. - Nicolas Bousquet, Valentin Bartier:
Linear transformations between colorings in chordal graphs. - Panagiotis Linardos, Eva Mohedano, Juan José Nieto, Noel E. O'Connor, Xavier Giró-i-Nieto, Kevin McGuinness:
Simple vs complex temporal recurrences for video saliency prediction.. - Martin Geier, Samarjit Chakraborty:
Challenges in IT Operations Management at a German University Chair - Ten Years in Retrospect. - Wilhelm Hasselbring, Sören Henning, Björn Latte, Armin Möbius, Thomas Richter, Stefani Schalk, Maik Wojcieszak:
Industrial DevOps. - James J. Cusick:
A Survey of Maturity Models from Nolon to DevOps and Their Applications in Process Improvement. - Christoph Heindl, Sebastian Zambal, Josef Scharinger:
Learning to Predict Robot Keypoints Using Artificially Generated Images. - Fangcheng Fu, Jiawei Jiang, Yingxia Shao, Bin Cui:
An Experimental Evaluation of Large Scale GBDT Systems. - Barbara Verfürth:
Numerical homogenization for non-linear monotone elliptic problems. - Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Dietze, Stefan Conrad:
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs. - Jia Liu, Yan Ke, Yu Lei, Zhuo Zhang, Jun Li, Peng Luo, Minqing Zhang, Xiaoyuan Yang:
Recent Advances of Image Steganography with Generative Adversarial Networks. - F. O. Bunnin, Jim Q. Smith:
A Bayesian Hierarchical Model for Criminal Investigations. - Stefano V. Albrecht, Subramanian Ramamoorthy:
Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. - Allison Perrone, Justin Edwards:
Chatbots as Unwitting Actors. - Lihao Liu, Xiaowei Hu, Lei Zhu, Pheng-Ann Heng:
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration. - Justin Edwards, Elaheh Sanoubari:
A Need for Trust in Conversational Interface Research. - Justin Edwards, He Liu, Tianyu Zhou, Sandy J. J. Gould, Leigh Clark, Philip R. Doyle, Benjamin R. Cowan:
Multitasking with Alexa Multitasking with Alexa: How Using Intelligent Personal Assistants Impacts Language-based Primary Task Performance. - German Ignacio Parisi, Christopher Kanan:
Rethinking Continual Learning for Autonomous Agents and Robots. - Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai:
Interference Avoidance Position Planning in Dual-hop and Multi-hop UAV Relay Networks. - Florentin Wörgötter, Fatemeh Ziaeetabar, Stefan Pfeiffer, Osman Kaya, Tomas Kulvicius, Minija Tamosiunaite:
Action Prediction in Humans and Robots. - Nicolai Davidsson, Andre Pawlowski, Thorsten Holz:
Towards Automated Application-Specific Software Stacks. - Dan Nanno, Hideyoshi Yanagisawa:
Effect of assistive method on the sense of fulfillment with agency: Modeling with flow and attribution theory. - Marcus Märtens, Dario Izzo:
Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression. - Christopher R. Hoyt, Art B. Owen:
Mean Dimension of Ridge Functions. - Shi Hu, Daniel E. Worrall, Stefan Knegt, Bastiaan S. Veeling, Henkjan J. Huisman, Max Welling:
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations. - Saeid Soheily-Khah, Yiming Wu:
An Enhanced Ad Event-Prediction Method Based on Feature Engineering. - Pawan Kumar Singh, Yadunath Gupta, Nilpa Jha, Aruna Rajan:
Fashion Retail: Forecasting Demand for New Items. - Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. - Tobias Harks:
Pricing in Resource Allocation Games Based on Duality Gaps. - Hsu-Chieh Hu, Stephen F. Smith:
Using Bi-Directional Information Exchange to Improve Decentralized Schedule-Driven Traffic Control. - Adnan Aijaz, Aleksandar Stanoev, Mahesh Sooriyabandara:
Toward Real-Time Wireless Control of Mobile Platforms for Future Industrial Systems. - Haim Kaplan, Katharina Klost, Wolfgang Mulzer, Liam Roditty, Paul Seiferth, Micha Sharir:
Triangles and Girth in Disk Graphs and Transmission Graphs. - Hsu-Chieh Hu, Stephen F. Smith, Rick Goldstein:
Cooperative Schedule-Driven Intersection Control with Connected and Autonomous Vehicles. - Keyan Ding, Kede Ma, Shiqi Wang:
Intrinsic Image Popularity Assessment. - Ahmet Kara, Milos Nikolic, Dan Olteanu, Haozhe Zhang:
Trade-offs in Static and Dynamic Evaluation of Hierarchical Queries. - Juhyun Lee, Nikolay Chirkov, Ekaterina Ignasheva, Yury Pisarchyk, Mogan Shieh, Fabio Riccardi, Raman Sarokin, Andrei Kulik, Matthias Grundmann:
On-Device Neural Net Inference with Mobile GPUs. - Satrajit Chatterjee, Alan Mishchenko:
Circuit-Based Intrinsic Methods to Detect Overfitting. - Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with Known Operators reduces Maximum Training Error Bounds. - Thomas Gittings, Steve A. Schneider, John P. Collomosse:
Robust Synthesis of Adversarial Visual Examples Using a Deep Image Prior. - Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin:
Technical report for "Virtual Energy Storage Sharing and Capacity Allocation". - Jenan Shtayat, Alaa Al-Kateeb:
An Encoding-Decoding algorithm based on Padovan numbers. - Nitya Raviprakash, Sonam Damani, Ankush Chatterjee, Meghana Joshi, Puneet Agrawal:
Using AI for Economic Upliftment of Handicraft Industry. - Jonas Fassbender:
libconform v0.1.0: a Python library for conformal prediction. - Peter Anderson, Ayush Shrivastava, Devi Parikh, Dhruv Batra, Stefan Lee:
Chasing Ghosts: Instruction Following as Bayesian State Tracking. - Ben Adler, Giacomo Boscaini-Gilroy:
Real-time Claim Detection from News Articles and Retrieval of Semantically-Similar Factchecks. - Dong Li, Lin Li:
Combining Q&A Pair Quality and Question Relevance Features on Community-based Question Retrieval. - Michael Correll, Enrico Bertini, Steven Franconeri:
Truncating the Y-Axis: Threat or Menace? - Ellen Bowler, Peter T. Fretwell, Geoffrey French, Michal Mackiewicz:
Using Deep Learning to Count Albatrosses from Space. - Giovanni Abramo, Dag W. Aksnes, Ciriaco Andrea D'Angelo:
Comparison of research productivity of Italian and Norwegian professors and universities. - Francesco Croce, Matthias Hein:
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack. - Gustav Nilsson, Giacomo Como:
Generalized Proportional Allocation Policies for Robust Control of Dynamical Flow Networks. - Donghang Pan, Jingling Yuan, Lin Li, Deming Sheng:
Deep neural network-based classification model for Sentiment Analysis. - Sam Wenke, Dan Saunders, Mike Qiu, Jim Fleming:
Reasoning and Generalization in RL: A Tool Use Perspective. - Arman Hasanzadeh, Nagaraj Thenkarai Janakiraman, Vamsi K. Amalladinne, Krishna R. Narayanan:
Spatially-Coupled Neural Network Architectures. - Jieh-Sheng Lee, Jieh Hsiang:
Patent Claim Generation by Fine-Tuning OpenAI GPT-2. - Lars Gottesbüren, Michael Hamann, Dorothea Wagner:
Evaluation of a Flow-Based Hypergraph Bipartitioning Algorithm. - Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi:
Learning Landmarks from Unaligned Data using Image Translation. - Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric D. Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel, Jimmy Ba:
Benchmarking Model-Based Reinforcement Learning. - Aneeq Zia, Liheng Guo, Linlin Zhou, Irfan A. Essa, Anthony M. Jarc:
Novel evaluation of surgical activity recognition models using task-based efficiency metrics. - Mark D. Hill, Vijay Janapa Reddi:
Accelerator-level Parallelism. - Elaina Tan, Lakshay Sharma:
Neural Image Captioning. - Maíra Gatti de Bayser, Paulo Rodrigo Cavalin, Claudio S. Pinhanez, Bianca Zadrozny:
Learning Multi-Party Turn-Taking Models from Dialogue Logs. - Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang, Feng Qiu, Dongbo Zhao:
Distributed Constrained Policy Learning for Power Management of Networked Microgrids. - Galen Reeves, Henry D. Pfister:
Understanding Phase Transitions via Mutual Information and MMSE. - Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis, Rahul Sheth, Kurt Gray, Dinesh Manocha:
EVA: Generating Emotional Behavior of Virtual Agents using Expressive Features of Gait and Gaze. - Rafael S. Gonçalves, Matthew Horridge, Rui Li, Yu Liu, Mark A. Musen, Csongor I. Nyulas, Evelyn Obamos, Dhananjay Shrouty, David Temple:
Use of OWL and Semantic Web Technologies at Pinterest. - Falcon Z. Dai, Matthew R. Walter:
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards. - Arash Haddadan, Alantha Newman:
Towards improving Christofides algorithm for half-integer TSP. - Sølve Eidnes, Lu Li:
Linearly implicit local and global energy-preserving methods for Hamiltonian PDEs. - Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma:
Non-structured DNN Weight Pruning Considered Harmful. - Shitij Kumar, Ferat Sahin:
Sensing Volume Coverage of Robot Workspace using On-Robot Time-of-Flight Sensor Arrays for Safe Human Robot Interaction. - Subarno Banerjee, Lazaro Clapp, Manu Sridharan:
NullAway: Practical Type-Based Null Safety for Java. - Marat Dukhan:
The Indirect Convolution Algorithm. - Pál András Papp, Roger Wattenhofer:
Stabilization Time in Minority Processes. - Étienne André, Paolo Arcaini, Angelo Gargantini, Marco Radavelli:
Repairing Timed Automata Clock Guards through Abstraction and Testing. - Ke Wang, Zhendong Su:
Learning Blended, Precise Semantic Program Embeddings.