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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 - (Withdrawn) Adversarial Driving Behavior Generation Incorporating Human Risk Cognition for Autonomous Vehicle Evaluation.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, Kanji Tanaka:
Walking = Traversable? : Traversability Prediction via Multiple Human Object Tracking under Occlusion. - Yin Sun, Sastry Kompella:
Age-Optimal Multi-Flow Status Updating with Errors: A Sample-Path Approach. - Juhwan Lee, Jungwoo Lee, Longfei Yin, Wonjae Shin, Bruno Clerckx:
Coordinated Rate-Splitting Multiple Access for Integrated Satellite-Terrestrial Networks with Super-Common Message. - Wenjie Liu, Ying Zhang, Zhiliang Deng, Jiaojiao Zhao, Lian Tong:
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud. - Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning. - Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro:
Learning State-Augmented Policies for Information Routing in Communication Networks. - Yuze He, Peng Wang, Yubin Hu, Wang Zhao, Ran Yi, Yong-Jin Liu, Wenping Wang:
MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending. - Youquan Xian, Lianghaojie Zhou, Jianyong Jiang, Boyi Wang, Hao Huo, Peng Liu:
A Distributed Efficient Blockchain Oracle Scheme for Internet of Things. - S. Kazem Shekofteh, Christian Alles, Nils Kochendörfer, Holger Fröning:
On Performance Analysis of Graphcore IPUs: Analyzing Squared and Skewed Matrix Multiplication. - Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung:
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation. - Zouying Cao, Yifei Yang, Hai Zhao:
AutoHall: Automated Hallucination Dataset Generation for Large Language Models. - José Guadalupe Romero, David Navarro-Alarcon:
Robust Integral Consensus Control of Multi-Agent Networks Perturbed by Matched and Unmatched Disturbances: The Case of Directed Graphs. - Enyu Shi, Jiayi Zhang, Hongyang Du, Bo Ai, Chau Yuen, Dusit Niyato, Khaled B. Letaief, Xuemin Shen:
RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications. - Xiaolong Liang, Yì N. Wáng:
Epistemic Logic over Similarity Graphs: Common, Distributed and Mutual Knowledge. - Eleni Mandrali:
Describing weighted safety with weighted LTL over product ω-valuation monoids. - Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu:
Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection. - Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. - Baphumelele Masikisiki, Vukosi Marivate, Yvette Hlophe:
Investigating the Efficacy of Large Language Models in Reflective Assessment Methods through Chain of Thoughts Prompting. - Kehan Long, Khoa Tran, Melvin Leok, Nikolay Atanasov:
Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments. - Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, Chris Chinenye Emezue, Sahib Singh, Bonaventure F. P. Dossou, Joanne I. Osuchukwu, Salomey Osei, Atnafu Lambebo Tonja, Naome A. Etori, Clinton Mbataku:
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR. - Victor Hernandez Moreno, Steffen Jansing, Mikhail Polikarpov, Marc G. Carmichael, Jochen Deuse:
Obstacles and Opportunities for Learning from Demonstration in Practical Industrial Assembly: A Systematic Literature Review. - Yunhao Chen, Zihui Yan, Yunjie Zhu:
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey. - Nyashadzashe Tamuka, Khulumani Sibanda:
A bibliometric Analysis on Spectrum Sensing in Wireless Networks. - Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong:
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. - Dongyuan Li, Yusong Wang, Kotaro Funakoshi, Manabu Okumura:
Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition. - Syed Sameen Ahmad Rizvi, Preyansh Agrawal, Jagat Sesh Challa, Pratik Narang:
InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset. - Cong Wang, Gong-Jie Ruan, Zaizheng Yang, Xing-Jian Yangdong, Yixiang Li, Liang Wu, Yingmeng Ge, Yichen Zhao, Chen Pan, Wei Wei, Li-Bo Wang, Bin Cheng, Zaichen Zhang, Chuan Zhang, Shi-Jun Liang, Feng Miao:
Parallel in-memory wireless computing. - Tsuyoshi Yoneda:
Mathematical structure of perfect predictive reservoir computing for autoregressive type of time series data. - Suyu Lv, Yuanwei Liu, Xiaodong Xu, Arumugam Nallanathan, A. Lee Swindlehurst:
RIS-aided Near-Field MIMO Communications: Codebook and Beam Training Design. - Lin Liu, Xinxin Fan, Haoyang Liu, Chulong Zhang, Weibin Kong, Jingjing Dai, Yuming Jiang, Yaoqin Xie, Xiaokun Liang:
QUIZ: An Arbitrary Volumetric Point Matching Method for Medical Image Registration. - Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang:
Understanding In-Context Learning from Repetitions. - Yudai Tanabe, Luthfan Anshar Lubis, Tomoyuki Aotani, Hidehiko Masuhara:
Compilation Semantics for a Programming Language with Versions. - Asahi Ushio, José Camacho-Collados, Steven Schockaert:
RelBERT: Embedding Relations with Language Models. - Dexun Li, Pradeep Varakantham:
A Hierarchical Approach to Environment Design with Generative Trajectory Modeling. - Xuan Zhang, Wei Gao:
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method. - Jingliang Deng, Zonghan Li:
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation. - Jared Jonas, Bassam Bamieh:
An Adaptation of the AAA-Interpolation Algorithm for Model Reduction of MIMO Systems. - Zhiyong Yang, Yuelong Zhu, Xiaoqin Zeng, Jun Zong, Xiuheng Liu, Ran Tao, Xiaofei Cong, Yufeng Yu:
An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy. - Wenhao Li:
Efficient Planning with Latent Diffusion. - Safoora Yousefi, Leo Betthauser, Hosein Hasanbeig, Akanksha Saran, Raphaël Millière, Ida Momennejad:
In-Context Learning in Large Language Models: A Neuroscience-inspired Analysis of Representations. - Jingyuan Sun, Mingxiao Li, Marie-Francine Moens:
Decoding Realistic Images from Brain Activity with Contrastive Self-supervision and Latent Diffusion. - Chengdong Ma, Ziran Yang, Minquan Gao, Hai Ci, Jun Gao, Xuehai Pan, Yaodong Yang:
Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models. - Joe O'Brien, Shaun Ee, Zoe Williams:
Deployment Corrections: An incident response framework for frontier AI models. - Giovanni Brignone, Mihai T. Lazarescu, Luciano Lavagno:
A DSP shared is a DSP earned: HLS Task-Level Multi-Pumping for High-Performance Low-Resource Designs. - Iurii Katser, Vyacheslav Kozitsin, Igor Mozolin:
MFL Data Preprocessing and CNN-based Oil Pipeline Defects Detection. - Angelo Ferrando, Rafael Cardoso:
Proceedings of the Third Workshop on Agents and Robots for reliable Engineered Autonomy, AREA@ECAI 2023, Krakow, Poland, 1st October 2023. EPTCS 391, 2023 [contents] - Andrej Bogdanov, Krishnamoorthy Dinesh, Yuval Filmus, Yuval Ishai, Avi Kaplan, Sruthi Sekar:
Bounded Simultaneous Messages. - Marcellin Atemkeng, Toheeb Aduramomi Jimoh:
Anomaly Detection in Power Generation Plants with Generative Adversarial Networks. - Manuel Dileo, Matteo Zignani, Sabrina Gaito:
DURENDAL: Graph deep learning framework for temporal heterogeneous networks. - Arseni Ivanov:
Quantization of Deep Neural Networks to facilitate self-correction of weights on Phase Change Memory-based analog hardware. - Alejandra Duque-Torres, Dietmar Pfahl:
Towards a Complete Metamorphic Testing Pipeline. - Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li:
FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation. - Martin Brenncke:
Regulating Dark Patterns. - Ariel Fenster, Teddy Lazebnik:
Mathematical Model of Dating Apps' Influence on Sexually Transmitted Diseases Spread. - Mehfuz A Rahman, Jiju Peethambaran, Neil London:
RBF Weighted Hyper-Involution for RGB-D Object Detection. - Haoyu Ma, Jialong Wu, Ningya Feng, Jianmin Wang, Mingsheng Long:
Harmony World Models: Boosting Sample Efficiency for Model-based Reinforcement Learning. - Hung Cao, Monica Wachowicz, Rene Richard, Ching-Hsien Hsu:
Fostering new Vertical and Horizontal IoT Applications with Intelligence Everywhere. - Shaina Raza, Oluwanifemi Bamgbose, Veronica Chatrath, Shardul Ghuge, Yan Sidyakin, Abdullah Yahya Mohammed Muaad:
Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis. - Khac-Hoang Ngo, Giuseppe Durisi, Alexandre Graell i Amat, Andrea Munari, Francisco Lázaro:
Age of Information in Slotted ALOHA With Energy Harvesting. - Mathias-Felipe de-Lima-Santos, Isabella Gonçalves, Marcos G. Quiles, Lucia Mesquita, Wilson Ceron:
Visual Political Communication in a Polarized Society: A Longitudinal Study of Brazilian Presidential Elections on Instagram. - Avinash Kumar Singh, Dikai Liu, Chin-Teng Lin:
Neuroadaptation in Physical Human-Robot Collaboration. - Anshu Yadav, Deepak Bhoriya, Harish Kumar, Praveen Chandrashekar:
Entropy stable schemes for the shear shallow water model Equations. - Javier Pérez de Frutos, Ragnhild Holden Helland, Shreya Desai, Line Cathrine Nymoen, Thomas Langø, Theodor Remman, Abhijit Sen:
AI-Dentify: Deep learning for proximal caries detection on bitewing x-ray - HUNT4 Oral Health Study. - Taichi Higasa, Keitaro Tanaka, Qi Feng, Shigeo Morishima:
Gaze-Driven Sentence Simplification for Language Learners: Enhancing Comprehension and Readability. - Xiao Zhang, Michael Maire:
Structural Adversarial Objectives for Self-Supervised Representation Learning. - Shanmin Yang, Shu Hu, Bin Zhu, Ying Fu, Siwei Lyu, Xi Wu, Xin Wang:
Improving Cross-dataset Deepfake Detection with Deep Information Decomposition. - Linjie Lyu, Ayush Tewari, Marc Habermann, Shunsuke Saito, Michael Zollhöfer, Thomas Leimkühler, Christian Theobalt:
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering. - Pedram Rabiee, Jesse B. Hoagg:
Composition of Control Barrier Functions With Differing Relative Degrees for Safety Under Input Constraints. - Jonas Belouadi, Anne Lauscher, Steffen Eger:
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ. - Gousia Habib, Tausifa Jan Saleem, Brejesh Lall:
Distilling Inductive Bias: Knowledge Distillation Beyond Model Compression. - Kartik Ramachandruni, Max Zuo, Sonia Chernova:
ConSOR: A Context-Aware Semantic Object Rearrangement Framework for Partially Arranged Scenes. - Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann:
Deep Active Learning with Noisy Oracle in Object Detection. - Jide Alaga, Jonas Schuett:
Coordinated pausing: An evaluation-based coordination scheme for frontier AI developers. - Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian:
Mitigating the Effect of Incidental Correlations on Part-based Learning. - Zhaowei Zhang, Fengshuo Bai, Jun Gao, Yaodong Yang:
Measuring Value Understanding in Language Models through Discriminator-Critique Gap. - Georgios Akrivis, Sören Bartels, Christian Palus:
Quadratic constraint consistency in the projection-free approximation of harmonic maps and bending isometries. - Tomislav Antic, Tomislav Capuder:
A geographic information system-based modelling, analysing and visualising of low voltage networks: The potential of demand time-shifting in the power quality improvement. - Hongyang Pan, Yanheng Liu, Geng Sun, Junsong Fan, Shuang Liang, Chau Yuen:
Joint Power and 3D Trajectory Optimization for UAV-enabled Wireless Powered Communication Networks with Obstacles. - Fei Zhao, Taotian Pang, Zhen Wu, Zheng Ma, Shujian Huang, Xinyu Dai:
Dynamic Demonstrations Controller for In-Context Learning. - Yihang Chen, Lukas Mauch:
Order-Preserving GFlowNets. - Matthias Franke, Ognjen Stanojev, Lesia Mitridati, Gabriela Hug:
Privacy-Preserving Distributed Market Mechanism for Active Distribution Networks. - Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa:
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. - Jun-Ting Hsieh, Pravesh K. Kothari, Lucas Pesenti, Luca Trevisan:
New SDP Roundings and Certifiable Approximation for Cubic Optimization. - Azra Seyyedi, Sina Dortaj, Mahdi Bohlouli, Seyed Ehsan Nedaaee Oskoee:
Energy Efficient and Connectivity Aware Self-Organizing Distributed IoT Topology Control. - Adarsha M, S. Malathi, Santosh Kumar:
Analysis of system capacity and spectral efficiency of fixed-grid network. - Yanheng Liu, Hongyang Pan, Geng Sun, Aimin Wang, Jiahui Li, Shuang Liang:
Joint Scheduling and Trajectory Optimization of Charging UAV in Wireless Rechargeable Sensor Networks. - Yan Xiao, Xinyue Zuo, Lei Xue, Kailong Wang, Jin Song Dong, Ivan Beschastnikh:
Empirical Study on Transformer-based Techniques for Software Engineering. - Lei Yang, Jiaxin Yu, Xinyu Zhang, Jun Li, Li Wang, Yi Huang, Chuang Zhang, Hong Wang, Yiming Li:
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings. - Jose Andres Millan-Romera, Hriday Bavle, Muhammad Shaheer, Martin R. Oswald, Holger Voos, José Luis Sánchez-López:
Better Situational Graphs by Inferring High-level Semantic-Relational Concepts. - Jiongkang Ni, Xiaoliang Xu, Yuxiang Wang, Can Li, Jiajie Yao, Shihai Xiao, Xuecang Zhang:
DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex. - Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu:
Controlling Neural Style Transfer with Deep Reinforcement Learning. - Martin Isaksson, Filippo Vannella, David Sandberg, Rickard Cöster:
mmWave Beam Selection in Analog Beamforming Using Personalized Federated Learning. - Rikiya Takehi, Akihisa Watanabe, Tetsuya Sakai:
Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores. - Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon:
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. - Xuanxiang Huang, João Marques-Silva:
Refutation of Shapley Values for XAI - Additional Evidence. - Junsong Chen, Jincheng Yu, Chongjian Ge, Lewei Yao, Enze Xie, Yue Wu, Zhongdao Wang, James T. Kwok, Ping Luo, Huchuan Lu, Zhenguo Li:
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. - Zeyu Dong:
Technical Report of 2023 ABO Fine-grained Semantic Segmentation Competition. - Yu Hua:
The First Principles of Big Memory Systems. - Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel:
On the Stability of Iterative Retraining of Generative Models on their own Data. - Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105, 852 Extended Reality Device Users. - Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers:
ResolvNet: A Graph Convolutional Network with multi-scale Consistency. - Snehal Jauhri, Sophie Lueth, Georgia Chalvatzaki:
Active-Perceptive Motion Generation for Mobile Manipulation. - Zhiyao Sun, Tian Lv, Sheng Ye, Matthieu Gaetan Lin, Jenny Sheng, Yu-Hui Wen, Minjing Yu, Yong-Jin Liu:
DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models. - Silviu Pitis:
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards. - Haining Wang:
Enhancing Representation Generalization in Authorship Identification. - David Khachaturov, Yue Gao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson, Kassem Fawaz:
Human-Producible Adversarial Examples. - Nisarg Ujjainkar, Ethan Shahan, Kenneth Chen, Budmonde Duinkharjav, Qi Sun, Yuhao Zhu:
Exploiting Human Color Discrimination for Memory- and Energy-Efficient Image Encoding in Virtual Reality. - Babak Taheri, Daniel K. Molzahn:
Optimizing Parameters of the DC Power Flow. - Christian Internò, Eloisa Ambrosini:
Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data. - Saaketh Medepalli, Naren Doraiswamy:
On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning. - Fadillah A. Maani, Asim Ukaye, Nada Saadi, Numan Saeed, Mohammad Yaqub:
UniLVSeg: Unified Left Ventricular Segmentation with Sparsely Annotated Echocardiogram Videos through Self-Supervised Temporal Masking and Weakly Supervised Training. - Wenjie Yin, Qingyuan Yao, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman:
Music- and Lyrics-driven Dance Synthesis. - Hanif Kia, Mansour Vali, Hadi Sabahi:
Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets. - Melvyn Tyloo, Marc Vuffray, Andrey Y. Lokhov:
Forced oscillation source localization from generator measurements. - Jonathan Tremblay, Bowen Wen, Valts Blukis, Balakumar Sundaralingam, Stephen Tyree, Stan Birchfield:
Diff-DOPE: Differentiable Deep Object Pose Estimation. - Linda Lastrico, Nuno Ferreira Duarte, Alessandro Carfì, Francesco Rea, Alessandra Sciutti, Fulvio Mastrogiovanni, José Santos-Victor:
Expressing and Inferring Action Carefulness in Human-to-Robot Handovers. - Phuc Lu Le, Son Hoang Dau, Hy Dinh Ngo, Thuc D. Nguyen:
New results on Erasure Combinatorial Batch Codes. - Mustafa O. Karabag, Sophia Smith, David Fridovich-Keil, Ufuk Topcu:
Encouraging Inferable Behavior for Autonomy: Repeated Bimatrix Stackelberg Games with Observations. - Axel Huebl, Arianna Formenti, Marco Garten, Jean-Luc Vay:
State of In Situ Visualization in Simulations: We are fast. But are we inspiring? - Trager Joswig-Jones, Baosen Zhang:
Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits. - Chak Lam Shek, Xiyang Wu, Dinesh Manocha, Pratap Tokekar, Amrit Singh Bedi:
LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. - Vincent Li, Nick Doiron:
Prompting Code Interpreter to Write Better Unit Tests on Quixbugs Functions. - Wen Wu, Wenlin Chen, Chao Zhang, Philip C. Woodland:
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation. - Young In Kim, Pratiksha Agrawal, Johannes O. Royset, Rajiv Khanna:
On Memorization and Privacy risks of Sharpness Aware Minimization. - Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen:
Dynamic DAG Discovery for Interpretable Imitation Learning. - Gaurav Jain, Basel Hindi, Zihao Zhang, Koushik Srinivasula, Mingyu Xie, Mahshid Ghasemi, Daniel Weiner, Sophie Ana Paris, Xin Yi Therese Xu, Michael C. Malcolm, Mehmet Kerem Türkcan, Javad Ghaderi, Zoran Kostic, Gil Zussman, Brian A. Smith:
StreetNav: Leveraging Street Cameras to Support Precise Outdoor Navigation for Blind Pedestrians. - Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu:
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. - Cameron Shinn, Collin McCarthy, Saurav Muralidharan, Muhammad Osama, John D. Owens:
The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks. - Jake Ketchum, Sophia Schiffer, Muchen Sun, Pranav Kaarthik, Ryan L. Truby, Todd D. Murphey:
Automated Gait Generation For Walking, Soft Robotic Quadrupeds. - Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring, Yuki M. Asano:
Small Visual Language Models can also be Open-Ended Few-Shot Learners. - Alina Elena Baia, Valentina Poggioni, Andrea Cavallaro:
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations. - Amin Ranem, Niklas Babendererde, Moritz Fuchs, Anirban Mukhopadhyay:
Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology. - Sujith K. Mandala:
Unveiling the Unborn: Advancing Fetal Health Classification through Machine Learning. - Prerit Pramod:
Analytical Modeling of Parameter Imbalance in Permanent Magnet Synchronous Machines. - Tobias Ginsburg, Kyle Hippe, Ryan Lewis, Doga Ozgulbas, Aileen Cleary, Rory Butler, Casey Stone, Abraham Stroka, Ian T. Foster:
Exploring Benchmarks for Self-Driving Labs using Color Matching. - Boris Ndjia Njike, Xavier Siebert:
Nonparametric active learning for cost-sensitive classification. - Chelsea Edmonds, Lawrence C. Paulson:
Formal Probabilistic Methods for Combinatorial Structures in Isabelle/HOL. - Salim Sazzed, Sharif Ullah:
Enhancing Efficiency and Privacy in Memory-Based Malware Classification through Feature Selection. - Luana Barros, Levy G. Chaves, Sandra Avila:
Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions. - Takahito Kashiwabara:
Finite element analysis of a generalized Robin boundary value problem in curved domains based on the extension method. - Hayden Jananthan, Jeremy Kepner, Michael Jones, William Arcand, David Bestor, William Bergeron, Chansup Byun, Timothy Davis, Vijay Gadepally, Daniel Grant, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Guillermo Morales, Andrew Morris, Julie Mullen, Ritesh Patel, Alex Pentland, Sandeep Pisharody, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Tyler Trigg, Gabriel Wachman, Charles Yee, Peter Michaleas:
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations. - Kritika Vashishtha, Anas Saad, Reza Faieghi, Fengfeng Xi:
Reinforcement learning adaptive fuzzy controller for lighting systems: application to aircraft cabin. - Morris Yau, Eric Lu, Nikolaos Karalias, Jessica Xu, Stefanie Jegelka:
Are Graph Neural Networks Optimal Approximation Algorithms? - Thalles Santos Silva, Hélio Pedrini, Adín Ramírez Rivera:
Self-supervised Learning of Contextualized Local Visual Embeddings. - Ningli Xu, Rongjun Qin, Debao Huang, Fabio Remondino:
Enabling Neural Radiance Fields (NeRF) for Large-scale Aerial Images - A Multi-tiling Approach and the Geometry Assessment of NeRF. - Jianqiao Lu, Wanjun Zhong, Wenyong Huang, Yufei Wang, Fei Mi, Baojun Wang, Weichao Wang, Lifeng Shang, Qun Liu:
SELF: Language-Driven Self-Evolution for Large Language Model. - Anni Li, Christos G. Cassandras, Wei Xiao:
Safe Optimal Interactions Between Automated and Human-Driven Vehicles in Mixed Traffic with Event-triggered Control Barrier Functions. - Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon S. Du:
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention. - Maitham G. Yousif, Fadhil G. Al-Amran, Salman Rawaf, Mohammad Abdulla Grmt:
Machine Learning-driven Analysis of Gastrointestinal Symptoms in Post-COVID-19 Patients. - Hua Ma, Shang Wang, Yansong Gao:
Horizontal Class Backdoor to Deep Learning. - Lei Li, Yijia Tang, Jingtong Zhang:
Solving stationary nonlinear Fokker-Planck equations via sampling. - Jiancheng Huang, Yifan Liu, Yi Huang, Shifeng Chen:
Seal2Real: Prompt Prior Learning on Diffusion Model for Unsupervised Document Seal Data Generation and Realisation. - Jiannan Yang:
Derivative based global sensitivity analysis and its entropic link. - Guangxin Zhang, Shu Chen:
Siamese Representation Learning for Unsupervised Relation Extraction. - Alloy Das, Sanket Biswas, Umapada Pal, Josep Lladós:
Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes. - Chen-Hsiu Huang, Ja-Ling Wu:
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression. - Fangyi Mou, Zhiqing Tang, Jiong Lou, Jianxiong Guo, Wenhua Wang, Tian Wang:
Joint Task Scheduling and Container Image Caching in Edge Computing. - Ole Richter, Chenxi Wu, Adrian M. Whatley, German Köstinger, Carsten Nielsen, Ning Qiao, Giacomo Indiveri:
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor. - Duanyu Feng, Yongfu Dai, Jimin Huang, Yifang Zhang, Qianqian Xie, Weiguang Han, Alejandro Lopez-Lira, Hao Wang:
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models. - Quang H. Nguyen, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan:
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks. - Chen-Hsiu Huang, Ja-Ling Wu:
Image Data Hiding in Neural Compressed Latent Representations. - Yubo Gao, Haotian Wu:
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation. - Sein Minn:
LaPLACE: Probabilistic Local Model-Agnostic Causal Explanations. - Yufan Zhang, Honglin Wen, Yuexin Bian, Yuanyuan Shi:
Deriving Loss Function for Value-oriented Renewable Energy Forecasting. - Leyla Rabiei, Farzaneh Rahmani, Mohammad Khansari, Zeinab Rajabi, Moein Salimi:
Colloquial Persian POS (CPPOS) Corpus: A Novel Corpus for Colloquial Persian Part of Speech Tagging. - Cyrus Zhou, Zack Hassman, Ruize Xu, Dhirpal Shah, Vaughn Richard, Yanjing Li:
SIMD Dataflow Co-optimization for Efficient Neural Networks Inferences on CPUs. - Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu:
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. - Siyi Cao, Tongquan Zhou, Siruo Zhou:
Nine-year-old children outperformed ChatGPT in emotion: Evidence from Chinese writing. - Shiyu Xuan, Qingpei Guo, Ming Yang, Shiliang Zhang:
Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs. - Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li:
CityFM: City Foundation Models to Solve Urban Challenges. - Benjamin Wong, Tyler M. Paine, Santosh Devasia, Ashis G. Banerjee:
Active Anomaly Detection in Confined Spaces Using Ergodic Traversal of Directed Region Graphs. - Sudhanshu Sekhar Tripathy, Bichitrananda Behera:
Performance evaluation of Machine learning algorithms for Intrusion Detection System. - Lucen Zhong, Hengtong Lu, Caixia Yuan, Xiaojie Wang, Jiashen Sun, Ke Zeng, Guanglu Wan:
A Task-oriented Dialog Model with Task-progressive and Policy-aware Pre-training. - Aviya Maimon, Reut Tsarfaty:
A Novel Computational and Modeling Foundation for Automatic Coherence Assessment. - Neeldhara Misra, Harshil Mittal, Saket Saurabh, Dhara Thakkar:
On the Complexity of the Eigenvalue Deletion Problem. - Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart:
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. - Georgiy A. Bondar, Robert Gifford, Linh Thi Xuan Phan, Abhishek Halder:
Path Structured Multimarginal Schrödinger Bridge for Probabilistic Learning of Hardware Resource Usage by Control Software. - Adrian Kulmburg:
The Generalized Matrix Norm Problem. - Chaojian Yu, Xiaolong Shi, Jun Yu, Bo Han, Tongliang Liu:
On the Onset of Robust Overfitting in Adversarial Training. - Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou:
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning. - Shiguang Wu, Yaqing Wang, Quanming Yao:
Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction. - Chaoyue Xing, Wei Mao, Miaomiao Liu:
Scene-aware Human Motion Forecasting via Mutual Distance Prediction. - Yijiang Li, Ying Gao, Haohan Wang:
Understanding Adversarial Transferability in Federated Learning. - Hoyun Choi, Sungyeop Lee, B. Kahng, Junghyo Jo:
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations. - Wenqi Song, Yan Gao, Quan Quan:
Speed and Density Planning for a Speed-Constrained Robot Swarm Through a Virtual Tube. - Fabio Credali, Silvia Bertoluzza, Daniele Prada:
Reduced basis stabilization and post-processing for the virtual element method. - Qiannan Wang, Changchun Yin, Zhe Liu, Liming Fang, Run Wang, Chenhao Lin:
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning. - Nikolaos Pavlidis, Vasileios Perifanis, Theodoros Panagiotis Chatzinikolaou, Georgios Ch. Sirakoulis, Pavlos S. Efraimidis:
Intelligent Client Selection for Federated Learning using Cellular Automata. - Ekta Gavas, Anoop M. Namboodiri:
Finger-UNet: A U-Net based Multi-Task Architecture for Deep Fingerprint Enhancement. - Vincent Leroy, Jérôme Revaud, Thomas Lucas, Philippe Weinzaepfel:
Win-Win: Training High-Resolution Vision Transformers from Two Windows. - Yanjie Li, Bin Xie, Songtao Guo, Yuanyuan Yang, Bin Xiao:
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks. - Orvila Sarker, Hong Shen, Muhammad Ali Babar:
Reinforcement Learning Based Neighbour Selection for VANET with Adaptive Trust Management. - Perfect Y. Gidisu, Michiel E. Hochstenbach:
A DEIM-CUR factorization with iterative SVDs. - Bradley P. Allen, Lise Stork, Paul Groth:
Knowledge Engineering using Large Language Models. - Han-Dong Lim, Donghwan Lee:
A primal-dual perspective for distributed TD-learning. - Morteza Ghahremani, Christian Wachinger:
RegBN: Batch Normalization of Multimodal Data with Regularization. - Zhendong Shi, Xiaoli Wei, Ercan E. Kuruoglu:
From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information. - Jingtan Wang, Xinyang Lu, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low:
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. - Mustafa Shukor, Alexandre Ramé, Corentin Dancette, Matthieu Cord:
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning. - Lauren Hong, Ting Wang:
Fewer is More: Trojan Attacks on Parameter-Efficient Fine-Tuning. - Du Ouyang, Xiaoqun Wang, Zhijian He:
Quasi-Monte Carlo for unbounded integrands with importance sampling. - Tianyu Yu, Jinyi Hu, Yuan Yao, Haoye Zhang, Yue Zhao, Chongyi Wang, Shan Wang, Yinxv Pan, Jiao Xue, Dahai Li, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun:
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants. - Irdin Pekaric, Markus Frick, Jubril Gbolahan Adigun, Raffaela Groner, Thomas Witte, Alexander Raschke, Michael Felderer, Matthias Tichy:
Streamlining Attack Tree Generation: A Fragment-Based Approach. - Zeying Gong, Yujin Tang, Junwei Liang:
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting. - Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang:
LEGO-Prover: Neural Theorem Proving with Growing Libraries. - James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
The Robots are Here: Navigating the Generative AI Revolution in Computing Education. - Sandip Purnapatra, Humaira Rezaie, Bhavin Jawade, Yu Liu, Yue Pan, Luke Brosell, Mst Rumana Sumi, Lambert Igene, Alden Dimarco, Srirangaraj Setlur, Soumyabrata Dey, Stephanie Schuckers, Marco Huber, Jan Niklas Kolf, Meiling Fang, Naser Damer, Banafsheh Adami, Raul Chitic, Karsten Seelert, Vishesh Mistry, Rahul Parthe, Umit Kacar:
Liveness Detection Competition - Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint). - Sebastian Johann Wetzel:
Twin Neural Network Improved k-Nearest Neighbor Regression. - Sepehr Bakhshi, Fazli Can:
Balancing Efficiency vs. Effectiveness and Providing Missing Label Robustness in Multi-Label Stream Classification. - Fatemeh Ziaeetabar, Reza Safabakhsh, Saeedeh Momtazi, Minija Tamosiunaite, Florentin Wörgötter:
A Hierarchical Graph-based Approach for Recognition and Description Generation of Bimanual Actions in Videos. - Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon:
GeRA: Label-Efficient Geometrically Regularized Alignment. - Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho, Konrad Rieck, Brink van der Merwe, Fabian Yamaguchi:
Learning Type Inference for Enhanced Dataflow Analysis. - Ido Greenberg, Netanel Yannay, Shie Mannor:
Optimization or Architecture: How to Hack Kalman Filtering. - Yintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu:
A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems. - Teng Xiao, Donglin Wang:
A General Offline Reinforcement Learning Framework for Interactive Recommendation. - Ma. Beatrice Emanuela Pilar, Ellyza Mari Papas, Mary Loise Buenaventura, Dane Dedoroy, Myron Darrel Montefalcon, Jay Rhald Padilla, Lany L. Maceda, Mideth B. Abisado, Joseph Marvin Imperial:
CebuaNER: A New Baseline Cebuano Named Entity Recognition Model. - Rémi Abgrall, Wasilij Barsukow, Christian Klingenberg:
The Active Flux method for the Euler equations on Cartesian grids. - Sicong Pan, Liren Jin, Hao Hu, Marija Popovic, Maren Bennewitz:
How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF? - Hao Hu, Sicong Pan, Liren Jin, Marija Popovic, Maren Bennewitz:
Active Implicit Reconstruction Using One-Shot View Planning. - Ajay Suresha Sathya, Herman Bruyninckx, Wilm Decré, Goele Pipeleers:
Efficient Constrained Dynamics Algorithms based on an Equivalent LQR Formulation using Gauss' Principle of Least Constraint. - Hongruixuan Chen, Jian Song, Chen Wu, Bo Du, Naoto Yokoya:
Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange. - Viral Gosar, Mohsen Alirezaei, Igo Besselink, Henk Nijmeijer:
Model Validation of a Low-Speed and Reverse Driving Articulated Vehicle. - Mingze Wang, Lei Wu:
The Noise Geometry of Stochastic Gradient Descent: A Quantitative and Analytical Characterization. - Pratik Saini, Tapas Nayak, Indrajit Bhattacharya:
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks? - Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang:
Learning How to Propagate Messages in Graph Neural Networks. - Reshma Ramaprasad:
Comics for Everyone: Generating Accessible Text Descriptions for Comic Strips. - Jingjing Tang, Geraint A. Wiggins, György Fazekas:
Pianist Identification Using Convolutional Neural Networks.