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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. - Ziyin Liu, 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. - U. Messer, S. 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.