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ORCIDCoRR, October 2023
- Joao P. A. Dantas, Samara R. Silva, Vitor Conrado Faria Gomes
, Andre N. Costa, Adrisson R. Samersla, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama:
AsaPy: A Python Library for Aerospace Simulation Analysis. - Ngatcha Ndengna Arno Roland:
Derivation of a 2D PCCU-AENO method for nonconservative problems. Theory, Method and theoretical arguments. - Nikolay Shtabel, Mikhail V. Saramud, Stepan Tkachev, Iakov Pikalov:
Automated machine vision control system for technological nodes assembly process. - Shreyansh Pitroda:
Dynamic Multimodal Locomotion: A Quick Overview of Hardware and Control. - Jialin Hao:
Dataset Generation for Drone Optimal Placement Using Machine Learning. - Sharjeel Tahir, Syed Afaq Shah, Jumana Abu-Khalaf:
Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales. - Zhengyang Lu, Ying Chen:
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects. - Xiongming Dai, Gerald Baumgartner:
Operator-free Equilibrium on the Sphere. - Senkang Hu, Zhengru Fang, Haonan An, Guowen Xu, Yuan Zhou, Xianhao Chen, Yuguang Fang:
Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving. - Yong Ren, Tao Wang, Jiangyan Yi, Le Xu, Jianhua Tao, Chuyuan Zhang, Junzuo Zhou:
Fewer-token Neural Speech Codec with Time-invariant Codes. - Zhouxiang Zhao, Zhaohui Yang, Quoc-Viet Pham, Qianqian Yang, Zhaoyang Zhang:
Semantic Communication with Probability Graph: A Joint Communication and Computation Design. - Ethan Kou, Majid Moghadam:
PID Optimization Using Lagrangian Mechanics. - Mingming Zhang, Qingjie Liu, Yunhong Wang:
Prompt-Enhanced Self-supervised Representation Learning for Remote Sensing Image Understanding. - Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Saptarshi Sengupta:
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics. - (Withdrawn) Adversarial Driving Behavior Generation Incorporating Human Risk Cognition for Autonomous Vehicle Evaluation.
- Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogério Guimarães, Pietro Perona:
Text-image Alignment for Diffusion-based Perception. - Qinghua Xu, Tao Yue, Shaukat Ali, Maite Arratibel:
Pretrain, Prompt, and Transfer: Evolving Digital Twins for Time-to-Event Analysis in Cyber-physical Systems. - Jie Liu, Zufeng Pang, Zhiyong Li, Guilin Wen, Zhoucheng Su, Junfeng He, Kaiyue Liu, Dezheng Jiang, Zenan Li, Shouyan Chen, Yang Tian, Yi Min Xie, Zhenpei Wang, Zhuangjian Liu:
OriWheelBot: An origami-wheeled robot. - Yuzhang Shang, Zhihang Yuan, Qiang Wu, Zhen Dong:
PB-LLM: Partially Binarized Large Language Models. - Xi Wang, Laurence Aitchison, Maja Rudolph:
LoRA ensembles for large language model fine-tuning. - Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón:
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform. - Siqi Chen, Pierre-Philippe Dechant, Yang-Hui He, Elli Heyes, Edward Hirst, Dmitrii Riabchenko:
Machine Learning Clifford invariants of ADE Coxeter elements. - Chen Xu, Ba-Trung Cao, Yong Yuan, Günther Meschke:
Fusing simulation and monitoring data for real-time settlement prediction during tunnel construction: A multi-fidelity deep operator network (DeepONet). - Luchuan Song, Guojun Yin, Zhenchao Jin, Xiaoyi Dong, Chenliang Xu:
Emotional Listener Portrait: Neural Listener Head Generation with Emotion. - Mohammed M. Alani, Atefeh Mashatan, Ali Miri:
Adversarial Explainability: Utilizing Explainable Machine Learning in Bypassing IoT Botnet Detection Systems. - Ananya Rao, Howie Choset:
Multi-Objective Sparse Sensing with Ergodic Optimization. - Hangfeng He, Hongming Zhang, Dan Roth:
SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation. - Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Malemir Chegini, Wenxiao Wang, Soheil Feizi:
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks. - Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud:
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym. - Scott McClellan, Yuan An, Xintong Zhao, Xia Lin, Jane Greenberg:
Characterizing Semantic Ambiguity of the Materials Science Ontologies. - Ung Hee Lee, Tor Shepherd, Sangbae Kim, Avik De, Hao Su, Robert D. Gregg, Luke M. Mooney, Elliott J. Rouse:
How to Model Brushless Electric Motors for the Design of Lightweight Robotic Systems. - Haechan Mark Bong, Rongge Zhang, Ricardo de Azambuja, Giovanni Beltrame:
PEACE: Prompt Engineering Automation for CLIPSeg Enhancement in Aerial Robotics. - Susanta Samanta:
On the Counting of Involutory MDS Matrices. - Amanda Swearngin, Jason Wu, Xiaoyi Zhang, Esteban Gomez, Jen Coughenour, Rachel Stukenborg, Bhavya Garg, Greg Hughes, Adriana Hilliard, Jeffrey P. Bigham, Jeffrey Nichols:
Towards Automated Accessibility Report Generation for Mobile Apps. - Yang Su:
Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual Reality. - Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
DataDAM: Efficient Dataset Distillation with Attention Matching. - Vlad Hondru, Radu Tudor Ionescu:
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation. - Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Tatiana Likhomanenko:
Federated Learning with Differential Privacy for End-to-End Speech Recognition. - Zhuoran Yu, Manchen Wang, Yanbei Chen, Paolo Favaro, Davide Modolo:
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. - (Withdrawn) Multilingual Natural Language Processing Model for Radiology Reports - The Summary is all you need!
- Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu:
Latent Space Symmetry Discovery. - Tasin Islam, Alina Dana Miron, Xiaohui Liu, Yongmin Li:
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery. - Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia:
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. - Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang:
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things. - Steffen Börm, Janne Henningsen:
Memory-efficient compression of DH2-matrices for high-frequency problems. - Alexander Mattick, Christopher Mutschler:
Reinforcement Learning for Node Selection in Branch-and-Bound. - Kamil Ksiazek, Przemyslaw Spurek:
HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning. - Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang:
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. - Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa:
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization. - Mohi Reza, Nathan Laundry, Ilya Musabirov, Peter Dushniku, Zhi Yuan "Michael" Yu, Kashish Mittal, Tovi Grossman, Michael Liut, Anastasia Kuzminykh, Joseph Jay Williams:
ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán:
Fewshot learning on global multimodal embeddings for earth observation tasks. - Jean Kossaifi, Nikola B. Kovachki, Kamyar Azizzadenesheli, Anima Anandkumar:
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs. - Burak Boyacioglu, Mahnoush Babaei, Amanuel H. Mamo, Sarah Bergbreiter, Thomas L. Daniel, Kristi A. Morgansen:
Sensor Placement for Flapping Wing Model Using Stochastic Observability Gramians. - Sina Shaham, Bhaskar Krishnamachari, Matthew Kahn:
ILB: Graph Neural Network Enabled Emergency Demand Response Program For Electricity. - Xiang Li, Jinglu Wang, Xiaohao Xu, Xiulian Peng, Rita Singh, Yan Lu, Bhiksha Raj:
Rethinking Audiovisual Segmentation with Semantic Quantization and Decomposition. - Shirin Shoushtari, Jiaming Liu, Edward P. Chandler, M. Salman Asif, Ulugbek S. Kamilov:
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis. - Aditya Singh:
Optimizing performance in Basketball: A Game-Theoretic Approach to Shot Percentage Distribution in a team. - Jonathan Wenger, Felix Dangel, Agustinus Kristiadi:
On the Disconnect Between Theory and Practice of Overparametrized Neural Networks. - Jordi Pons, Xiaoyu Liu, Santiago Pascual, Joan Serrà:
GASS: Generalizing Audio Source Separation with Large-scale Data. - Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews:
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning. - Xiaofeng Guo, Guanqi He, Mohammadreza Mousaei, Junyi Geng, Guanya Shi, Sebastian A. Scherer:
Aerial Interaction with Tactile Sensing. - Stefan Kambiz Behfar, Jon Crowcroft:
Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks. - Athanasios Bacharis, Konstantinos D. Polyzos, Henry J. Nelson, Georgios B. Giannakis, Nikolaos Papanikolopoulos:
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning. - Jungseok Hong, Sadman Sakib Enan, Junaed Sattar:
Diver Identification Using Anthropometric Data Ratios for Underwater Multi-Human-Robot Collaboration. - Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang:
One for All: Towards Training One Graph Model for All Classification Tasks. - Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky:
Automatic Prompt Rewriting for Personalized Text Generation. - Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro:
Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers. - Carl Qi, Sarthak J. Shetty, Xingyu Lin, David Held:
Learning Generalizable Tool-use Skills through Trajectory Generation. - Reyhane Askari Hemmat, Mohammad Pezeshki, Florian Bordes, Michal Drozdzal, Adriana Romero-Soriano:
Feedback-guided Data Synthesis for Imbalanced Classification. - Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky:
Self-Specialization: Uncovering Latent Expertise within Large Language Models. - Dahun Kim, Anelia Angelova, Weicheng Kuo:
Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection. - Angelos Mavrogiannis, Christoforos I. Mavrogiannis, Yiannis Aloimonos:
Cook2LTL: Translating Cooking Recipes to LTL Formulae using Large Language Models. - Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi:
PRIME: Prioritizing Interpretability in Failure Mode Extraction. - Anay Majee, Suraj Kothawade, Krishnateja Killamsetty, Rishabh K. Iyer:
SCoRe: Submodular Combinatorial Representation Learning for Real-World Class-Imbalanced Settings. - Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff:
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. - Baichuan Huang, Xujia Zhang, Jingjin Yu:
Toward Optimal Tabletop Rearrangement with Multiple Manipulation Primitives. - Logan E. Beaver:
LQ-OCP: Energy-Optimal Control for LQ Problems. - Daniel Alabi, Dimitris Kalimeris:
Degree Distribution Identifiability of Stochastic Kronecker Graphs. - Pasquale Ambrosio, Salvatore Cuomo, Mariapia De Rosa:
A physics-informed deep learning approach for solving strongly degenerate parabolic problems. - Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian:
Tight Bounds for Volumetric Spanners and Applications. - Kai Weixian Lan, Elias Gueidon, Ayano Kaneda, Julian Panetta, Joseph Teran:
A Neural-preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions. - Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N. Sainath, Pedro Moreno Mengibar:
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. - Hans Riess, Gregory Henselman-Petrusek, Michael C. Munger, Robert Ghrist, Zachary I. Bell, Michael M. Zavlanos:
Network Preference Dynamics using Lattice Theory. - Xinwei Zhuang, Zixun Huang, Wentao Zeng, Luisa Caldas:
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling. - Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu:
On the Equivalence of Graph Convolution and Mixup. - Calvin Joyce, Jason Lim, Roger Nguyen, Michael Owens, Sara G. Wickenhiser, Elizabeth Peiros, Florian Richter, Michael C. Yip:
NASU - Novel Actuating Screw Unit: Origami-inspired Screw-based Propulsion on Mobile Ground Robots. - J. Thomas Beale, Michael Storm, Svetlana Tlupova:
The adjoint double layer potential on smooth surfaces in R3 and the Neumann problem. - Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer, Vivienne Sze:
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity. - Ryan Schneider:
When is fast, implicit squaring of A-1B stable? - Taylor W. Webb, Shanka Subhra Mondal, Chi Wang, Brian Krabach, Ida Momennejad:
A Prefrontal Cortex-inspired Architecture for Planning in Large Language Models. - Lee Kezar, Riley Carlin, Tejas Srinivasan, Zed Sevcikova Sehyr, Naomi Caselli, Jesse Thomason:
Exploring Strategies for Modeling Sign Language Phonology. - Lee Kezar, Elana Pontecorvo, Adele Daniels, Connor Baer, Ruth Ferster, Lauren Berger, Jesse Thomason, Zed Sevcikova Sehyr, Naomi Caselli:
The Sem-Lex Benchmark: Modeling ASL Signs and Their Phonemes. - Daniel Muise, Nilam Ram, Thomas N. Robinson, Byron Reeves:
Identification, Impacts, and Opportunities of Three Common Measurement Considerations when using Digital Trace Data. - Huancheng Chen, Haris Vikalo:
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling. - Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. - Lee Kezar, Jay Pujara:
Finding Pragmatic Differences Between Disciplines. - Mingjie Shen, Akul Abhilash Pillai, Brian A. Yuan, James C. Davis, Aravind Machiry:
An Empirical Study on the Use of Static Analysis Tools in Open Source Embedded Software. - Eric T. Chang, Runsheng Wang, Peter Ballentine, Jingxi Xu, Trey Smith, Brian Coltin, Ioannis Kymissis, Matei T. Ciocarlie:
An Investigation of Multi-feature Extraction and Super-resolution with Fast Microphone Arrays. - Lee Kezar, Aryan Shukla:
Detecting Unseen Multiword Expressions in American Sign Language. - Tianhao Wu, Banghua Zhu, Ruoyu Zhang, Zhaojin Wen, Kannan Ramchandran, Jiantao Jiao:
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment. - Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Wei Peng, Greg Zaharchuk, Kilian M. Pohl:
LSOR: Longitudinally-Consistent Self-Organized Representation Learning. - Ruhao Wan:
Quantum MDS Codes with length n ≡ 0, 1(mod((q±1)/2)). - Itay Grinberg, Alexandra Bremers, Louisa Pancoast, Wendy Ju:
Implicit collaboration with a drawing machine through dance movements. - Alexander Galozy, Sadi Alawadi, Victor R. Kebande, Slawomir Nowaczyk:
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study. - Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie:
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. - Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks:
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis. - Xinyu Liu, Jie Shen, Xiangxiong Zhang:
A simple GPU implementation of spectral-element methods for solving 3D Poisson type equations on cartesian meshes. - Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao:
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement. - Takuma Adams, Timothy A. McLennan-Smith:
King of the Hill: C2 for Next Generation Swarm Warfare. - Mingde Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio:
Combining Spatial and Temporal Abstraction in Planning for Better Generalization. - Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Yongqiang Wang, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Zhong Meng, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu:
SLM: Bridge the thin gap between speech and text foundation models. - Connor T. Jerzak, Adel Daoud:
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images. - Chenqi Kong, Anwei Luo, Shiqi Wang, Haoliang Li, Anderson Rocha, Alex C. Kot:
Pixel-Inconsistency Modeling for Image Manipulation Localization. - Longfei Gao:
Compensated sum and delayed update for time dependent wave simulations at half precision. - Pei Xu, Kaixiang Xie, Sheldon Andrews, Paul G. Kry, Michael Neff, Morgan McGuire, Ioannis Karamouzas, Victor B. Zordan:
AdaptNet: Policy Adaptation for Physics-Based Character Control. - Siyu Jiao, Yunchao Wei, Yaowei Wang, Yao Zhao, Humphrey Shi:
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation. - Niranka Banerjee, Duc A. Hoang:
The Complexity of Distance-r Dominating Set Reconfiguration. - Jonathan Tay Yu Liang,