Most Cited NEURIPS "communication-computation overlap" Papers
5,858 papers found • Page 21 of 30
Conference
InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Quanlong Zheng et al.
Are Language Models Efficient Reasoners? A Perspective from Logic Programming
Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami et al.
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
Kai He, Ruofan Liang, Jacob Munkberg et al.
Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent
Ziyang Wei, Jiaqi Li, Zhipeng Lou et al.
Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
Nima Hosseini Dashtbayaz, Hesam Salehipour, Adrian Butscher et al.
From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications
Yang Cai, Haipeng Luo, Chen-Yu Wei et al.
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals
Jonas Elsborg, Luca Thiede, Alan Aspuru-Guzik et al.
How many measurements are enough? Bayesian recovery in inverse problems with general distributions
Ben Adcock, Zi Yuan (Nick) Huang
Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness
Yanyu Ren, Li Chen, Dan Li et al.
Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
Junhyung Lyle Kim, Brandon Augustino, Dylan Herman et al.
Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization
jingfeng Guo, Jian Liu, Jinnan Chen et al.
Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
Yisen Gao, Xingcheng Fu, Qingyun Sun et al.
Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
Xiangcheng Zhang, Yige Hong, Weina Wang
Inference-time Alignment in Continuous Space
Yige Yuan, Teng Xiao, Li Yunfan et al.
LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process
Huiyang Shao, Xin Xia, Yuxi Ren et al.
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
Yujing Sun, Lingchen Sun, Shuaizheng Liu et al.
Flexible Realignment of Language Models
Wenhong Zhu, Ruobing Xie, Weinan Zhang et al.
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.
Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution
Bozhou Zhang, Nan Song, jingyu li et al.
Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model
Ruiping Liu, Junwei Zheng, Yufan Chen et al.
Non-equilibrium Annealed Adjoint Sampler
Jaemoo Choi, Yongxin Chen, Molei Tao et al.
PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs
Hanzhen Zhao, Ding Shihong, Cong Fang et al.
DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
Ozgur Kara, Harris Nisar, James Rehg
Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision
Chenshuang Zhang, Kang Zhang, Joon Son Chung et al.
Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
Suqin Yuan, Lei Feng, Bo Han et al.
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
Sukanya Patra, Souhaib Ben Taieb
DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning
Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.
RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains
Sepehr Mousavi, Shizheng Wen, Levi Lingsch et al.
Generalization Bounds for Model-based Algorithm Configuration
Zhiyang Chen, Hailong Yao, Xia Yin
Prompt Tuning Transformers for Data Memorization
Haiyu Wang, Yuanyuan Lin
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
Enze Shi, Pankaj Bhagwat, Zhixian Yang et al.
HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild
Valentin Bieri, Marie-Julie Rakotosaona, Keisuke Tateno et al.
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
Parsa Rahimi, Damien Teney, Sébastien Marcel
VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness
Minghao Yang, Zechen Bai, Jing Lin et al.
A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
Daniel Tschernutter, David Diego Castro, Maciej Kasiński
Unified Algorithms for RL with Decision-Estimation Coefficients: PAC, Reward-Free, Preference-Based Learning, and Beyond
Fan Chen, Song Mei, Yu Bai
VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information
Zecheng Wang, Chunshan Li, Yupeng Zhang et al.
Revisiting Glorot Initialization for Long-Range Linear Recurrences
Noga Bar, Mariia Seleznova, Yotam Alexander et al.
Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
Sreevardhan Sirigiri, Christian Hughes, Ian Abraham et al.
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
Canyu Zhao, Yanlong Sun, Mingyu Liu et al.
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
Maryam Aliakbarpour, Zhan Shi, Ria Stevens et al.
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
Roman Vashurin, Maiya Goloburda, Albina Ilina et al.
Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits
Areeb Ahmad, Abhinav Joshi, Ashutosh Modi
SHGR: A Generalized Maximal Correlation Coefficient
Samuel Stocksieker, Denys Pommeret
PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications
Zilin Shen, Xinyu Luo, Imtiaz Karim et al.
Axial Neural Networks for Dimension-Free Foundation Models
Hyunsu Kim, Jonggeon Park, Joan Bruna et al.
CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning
ao zhou, Jiayi Guan, Li Shen et al.
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling
Liang Yin, Xudong Xie, Zhang Li et al.
Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu et al.
ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback
Litao Guo, Xinli Xu, Luozhou Wang et al.
Generating and Checking DNN Verification Proofs
Hai Duong, ThanhVu Nguyen, Matthew Dwyer
Masked Diffusion Models as Energy Minimization
Sitong Chen, Shen Nie, Jiacheng Sun et al.
UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
Duo Wang, Yuan Zuo, Guangyue Lu et al.
Reasoning Is Not a Race: When Stopping Early Beats Going Deeper
Mohan Zhang, Jiaxuan Gao, Shusheng Xu et al.
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
Renzhao Liang, Sizhe Xu, Chenggang Xie et al.
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
Kaiwen Zha, Zhengqi Gao, Maohao Shen et al.
Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
Donghao Sun, Xi Wang, Xu Yang et al.
EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models
Andy Bonnetto, Haozhe Qi, Franklin Leong et al.
BNMusic: Blending Environmental Noises into Personalized Music
Chi Zuo, Martin Møller, Pablo Martínez-Nuevo et al.
$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang et al.
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
Seunghee Ryu, Donghoon Kwon, Seongjin Choi et al.
TreeGen: A Bayesian Generative Model for Hierarchies
Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti et al.
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Lorenzo Guerra, Thomas Chapuis, Guillaume Duc et al.
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models
Hongkai Lin, Dingkang Liang, Mingyang Du et al.
Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation
Jiyang Zheng, Siqi Pan, Yu Yao et al.
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney et al.
MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
Payal Mohapatra, Yueyuan Sui, Akash Pandey et al.
Less is More: Local Intrinsic Dimensions of Contextual Language Models
Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk et al.
Rethinking Fair Federated Learning from Parameter and Client View
Kaiqi Guan, Wenke Huang, Xianda Guo et al.
EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
Xiaorui Wu, Fei Li, Xiaofeng Mao et al.
FedIGL: Federated Invariant Graph Learning for Non-IID Graphs
Lingren Wang, Wenxuan Tu, Jiaxin Wang et al.
FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges
Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.
The Leaderboard Illusion
Shivalika Singh, Yiyang Nan, Alex Wang et al.
Human-assisted Robotic Policy Refinement via Action Preference Optimization
Wenke Xia, Yichu Yang, Hongtao Wu et al.
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking
Xiangqi Wang, Yue Huang, Yanbo Wang et al.
Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts
Zhihao Wu, Jinyu Cai, Yunhe Zhang et al.
Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
Julia Nakhleh, Robert Nowak
Sequence Modeling with Spectral Mean Flows
Jinwoo Kim, Max Beier, Petar Bevanda et al.
Dependency Parsing is More Parameter-Efficient with Normalization
Paolo Gajo, Domenic Rosati, Hassan Sajjad et al.
RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
Rongyang Zhang, Yuqing Huang, Chengqiang Lu et al.
On Agnostic PAC Learning in the Small Error Regime
Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
Minglu Zhao, Dehong Xu, Deqian Kong et al.
LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach
Jinglong Shen, Nan Cheng, Wenchao Xu et al.
RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
Shaohong Wang, Lu Bin, Xinyu Xiao et al.
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
Ming Wen, Jiaqi Zhu, Yuedong Xu et al.
Energy-based generator matching: A neural sampler for general state space
Dongyeop Woo, Minsu Kim, Minkyu Kim et al.
Fair Matroid Selection
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Danny Mittal
Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
Konstantinos Oikonomidis, Jan Quan, Panagiotis Patrinos
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu, Hao Miao, Guojiang Shen et al.
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models
Konstantinos Dafnis, Dimitris Metaxas
Rethinking PCA Through Duality
Jan Quan, Johan Suykens, Panagiotis Patrinos
On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm
Huan Li, Yiming Dong, Zhouchen Lin
Measure-Theoretic Anti-Causal Representation Learning
Arman Behnam, Binghui Wang
When Can Model-Free Reinforcement Learning be Enough for Thinking?
Josiah Hanna, Nicholas Corrado
SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography
Nima Hadidi, Jason Chan, Ebrahim Feghhi et al.
FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization
Xunzhao Yu
Pessimistic Data Integration for Policy Evaluation
Xiangkun Wu, Ting Li, Gholamali Aminian et al.
Strassen Attention, Split VC Dimension and Compositionality in Transformers
Alexander Kozachinskiy, Felipe Urrutia, Hector Orellana et al.
Fantastic Bugs and Where to Find Them in AI Benchmarks
Sang Truong, Yuheng Tu, Michael Hardy et al.
Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration
Zhang Junyu, Lizhong Ding, MinghongZhang et al.
Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization
Zixuan Huang, Yikun Ban, Lean Fu et al.
LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
Berkay Döner, Thorir Mar Ingolfsson, Luca Benini et al.
SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training
Sahar Rajabi, Nayeema Nonta, Sirisha Rambhatla
Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem
Elvis Dohmatob
Provable Meta-Learning with Low-Rank Adaptations
Jacob Block, Sundararajan Srinivasan, Liam Collins et al.
The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
Yichen Wang, Yudong Chen, Lorenzo Rosasco et al.
TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
Qiuhong Shen, Xingyi Yang, Xinchao Wang
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
Linlian Jiang, Rui Ma, Li Gu et al.
SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling
Yizhao Gao, Zhichen Zeng, DaYou Du et al.
Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy
Rob Romijnders, Antti Koskela
Simple and Efficient Heterogeneous Temporal Graph Neural Network
Yili Wang, Tairan Huang, Changlong He et al.
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Andrew Zhao, Yiran Wu, Yang Yue et al.
A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement
Linlin Fan, Xingyu Liu, Mingliang Zhou et al.
Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models
Michael Plainer, Hao Wu, Leon Klein et al.
VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction-Editing Data and Long Captions
Ziteng Wang, Siqi Yang, Limeng Qiao et al.
PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors
Xirui Jin, Renbiao Jin, Boying Li et al.
Valid Inference with Imperfect Synthetic Data
Yewon Byun, Shantanu Gupta, Zachary Lipton et al.
A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond
Zicheng Hu, Cheng Chen
A unified framework for establishing the universal approximation of transformer-type architectures
Jingpu Cheng, Ting Lin, Zuowei Shen et al.
Linearly Constrained Diffusion Implicit Models
Vivek Jayaram, Ira Kemelmacher-Shlizerman, Steve Seitz et al.
FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network
Fangtong Sun, Congyu Li, Ke Yang et al.
Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs
Houyi Li, Wenzhen Zheng, Qiufeng Wang et al.
OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance
Yuhan Yao, Feifei Kou, Lei Shi et al.
SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks
Yilun Zhao, Kaiyan Zhang, Tiansheng Hu et al.
Emerging Risks from Embodied AI Require Urgent Policy Action
Jared Perlo, Alexander Robey, Fazl Barez et al.
T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
Thomas Eiter, Katsumi Inoue, Nelson Higuera et al.
Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making
Tianyuan Jia, Ziyu Li, Qing Li et al.
IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants
Vivek Chavan, Yasmina Imgrund, Tung Dao et al.
Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error
Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot et al.
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Wenjing Tang, Xinyu He, Yongxi Huang et al.
Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals
Qinsi Wang, Jinghan Ke, Hancheng Ye et al.
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
Yanchen Luo, ZHIYUAN LIU, Yi Zhao et al.
Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
Tal Gonen, Itai Pemper, Ilan Naiman et al.
Model Merging in Pre-training of Large Language Models
Yunshui Li, Yiyuan Ma, Shen Yan et al.
More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
Derui Zhu, Dingfan Chen, jinfu chen et al.
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
Congyu Qiao, Ning Xu, Yihao Hu et al.
Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion
Yan Xu, Yixing Wang, Stella X. Yu
Care-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson’s Disease Gait Assessment
Vida Adeli, Ivan Klabučar, Javad Rajabi et al.
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
Bosong Huang, Ming Jin, Yuxuan Liang et al.
Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context
Yijia Dai, Zhaolin Gao, Yahya Sattar et al.
PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring
Wang, Xiao Yang, Qingyong Hu et al.
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
Alper KALLE, Théo Rudkiewicz, Mohamed Ouerfelli et al.
Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.
Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation
Chen YAN, Weina Wang, Lei Ying
MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
Yue Feng, Jinwei Hu, Qijia Lu et al.
OpenGU: A Comprehensive Benchmark for Graph Unlearning
Bowen Fan, Yuming Ai, Xunkai Li et al.
Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection
Litao Li, Leo Song, Steven Ding et al.
RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platfrom for Embodied Intelligence
Zhaoliang Wan, Zetong Bi, Zida Zhou et al.
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng et al.
TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation
Zhekai Chen, Ruihang Chu, Yukang Chen et al.
Don’t Give Up on Democratizing AI for the Wrong Reasons
Annette Zimmermann, Andrew Zeppa, Srijan Pandey et al.
A Principled Path to Fitted Distributional Evaluation
Sungee Hong, Jiayi Wang, Zhengling Qi et al.
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
David McCoy, Yulun Wu, Zachary Butzin-Dozier
$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power
Hongyu Shen, Zhizhen Jane Zhao
Generalizing Experience for Language Agents with Hierarchical MetaFlows
Shengda Fan, Xin Cong, Zhong Zhang et al.
3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization
Yuze Hao, Linchao Zhu, Yi Yang
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
Yanna Ding, Songtao Lu, Yingdong Lu et al.
UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
Haoming Ye, Yunxiao Xiao, Cewu Lu et al.
RAST: Reasoning Activation in LLMs via Small-model Transfer
Siru Ouyang, Xinyu Zhu, Zilin Xiao et al.
Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms
Guangyi Zhang, Yanhao Wang, Chengliang Chai et al.
Conditional Diffusion Anomaly Modeling on Graphs
Chunyu Wei, Haozhe Lin, Yueguo Chen et al.
Orochi: Versatile Biomedical Image Processor
Gaole Dai, Chenghao Zhou, Yu Zhou et al.
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
Mehran Shakerinava, Siamak Ravanbakhsh, Adam Oberman
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
Claudia Cuttano, Gabriele Trivigno, Giuseppe Averta et al.
Constructing an Optimal Behavior Basis for the Option Keyboard
Lucas N. Alegre, Ana Bazzan, Andre Barreto et al.
Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models
Yimu Wang, Mozhgan Nasr Azadani, Sean Sedwards et al.
Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits
Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski et al.
Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
Van-Anh Nguyen, Trung Le, Mehrtash Harandi et al.
Radial Attention: $\mathcal O(n \log n)$ Sparse Attention for Long Video Generation
XINGYANG LI, Muyang Li, Tianle Cai et al.
Learning to Solve Complex Problems via Dataset Decomposition
Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi et al.
KLASS: KL-Guided Fast Inference in Masked Diffusion Models
Seo Hyun Kim, Sunwoo Hong, Hojung Jung et al.
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
Jayanta Mandi, Marianne Defresne, Senne Berden et al.
Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
Yuxin Liu, Zhenghao (Mark) Peng, Xuanhao Cui et al.
PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy
Ruyu Liu, Lin Wang, Zhou Mingming et al.
Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
Liviu Aolaritei, Julie Zhu, Oliver Wang et al.
HARDMath2: A Benchmark for Applied Mathematics Built by Students as Part of a Graduate Class
James Roggeveen, Erik Wang, David Ettel et al.
Test-Time Adaptive Object Detection with Foundation Model
Yingjie Gao, Yanan Zhang, Zhi Cai et al.
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
Shuqing Luo, Ye Han, Pingzhi Li et al.
More effort is needed to protect pedestrian privacy in the era of AI
Xingchen Zhang, Zixian Zhao
Controlling Thinking Speed in Reasoning Models
Zhengkai Lin, Zhihang Fu, Ze Chen et al.
Fast attention mechanisms: a tale of parallelism
Jingwen Liu, Hantao Yu, Clayton Sanford et al.
Privacy Reasoning in Ambiguous Contexts
Ren Yi, Octavian Suciu, Adrian Gascon et al.
Encouraging metric-aware diversity in contrastive representation space
Tianxu Li, Kun Zhu
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
Duo Zhou, Jorge Chavez, Hesun Chen et al.
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
Tonglong Wei, Yan Lin, Youfang Lin et al.
REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Yassine El Ouahidi, Jonathan Lys, Philipp Thölke et al.
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber et al.
Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training
Tony Bonnaire, Raphaël Urfin, Giulio Biroli et al.
A Controllable Examination for Long-Context Language Models
Yijun Yang, Zeyu Huang, Wenhao Zhu et al.
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
Zhuang Qi, Yu Pan, Lei Meng et al.
Generalizable Reasoning through Compositional Energy Minimization
Alexandru Oarga, Yilun Du
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling
Hao Chen, Guanxi Lu, Yasuyuki Okoshi et al.
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
Yuezhou Ma, Haixu Wu, Hang Zhou et al.
BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
Yujia Chen, Rui Sun, Wangkai Li et al.
Learning from Interval Targets
Rattana Pukdee, Ziqi Ke, Chirag Gupta
SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation
Rey Koki, Michael McCabe, Dhruv Kedar et al.
Neural Networks Generalize on Low Complexity Data
Sourav Chatterjee, Timothy Sudijono
PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement
Haitian Zheng, Yuan Yao, yongsheng yu et al.