Most Cited NEURIPS "sublinear regret analysis" Papers

Scaling and context steer LLMs along the same computational path as the human brain

Joséphine Raugel, Jérémy Rapin, Stéphane d'Ascoli et al.

ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation

Zidong Cao, Jinjing Zhu, Hao Ai et al.

Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor

Maryam Aliakbarpour, Zhan Shi, Ria Stevens et al.

Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions

Weixin An, Yuanyuan Liu, Fanhua Shang et al.

How to Scale Second-Order Optimization

Charlie Chen, Shikai Qiu, Hoang Phan et al.

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning

Qiuchen Wang, Ruixue Ding, Yu Zeng et al.

Toward Interpretable Evaluation Measures for Time Series Segmentation

Félix Chavelli, Paul Boniol, Michaël Thomazo

MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs

Jan Sobotka, Luca Baroni, Ján Antolík

Complexity Scaling Laws for Neural Models using Combinatorial Optimization

Lowell Weissman, Michael Krumdick, A. Abbott

Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos

hanxue liang, Jiawei Ren, Ashkan Mirzaei et al.

Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations

Alexandru Crăciun, Debarghya Ghoshdastidar

Self-Improving Embodied Foundation Models

Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson et al.

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee et al.

Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI

Luca Andolfi, Eleonora Giunchiglia

Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks

Xuan Tang, Han Zhang, Yuan Cao et al.

Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting

Yiming Wang, Lucy Chai, Xuan Luo et al.

Controlling Thinking Speed in Reasoning Models

Zhengkai Lin, Zhihang Fu, Ze Chen et al.

Geometric Algorithms for Neural Combinatorial Optimization with Constraints

Nikolaos Karalias, Akbar Rafiey, Yifei Xu et al.

Dimensional Collapse in VQVAEs: Evidence and Remedies

Jiayou Zhang, Yifan Shen, Guangyi Chen et al.

Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection

Shuhai Zhang, ZiHao Lian, Jiahao Yang et al.

Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks

Florian Hölzl, Daniel Rueckert, Georgios Kaissis

Leveraging Conditional Dependence for Efficient World Model Denoising

Shaowei Zhang, Jiahan Cao, Dian Cheng et al.

CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing

Xinran Qin, Zhixin Wang, Fan Li et al.

InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy

Vishnu Vinod, Krishna Pillutla, Abhradeep Guha Thakurta

WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios

Eun Chang, Zhuangqun Huang, Yiwei Liao et al.

Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference

Kyurae Kim, Yian Ma, Trevor Campbell et al.

ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models

Zixun Fang, Kai Zhu, Zhiheng Liu et al.

CLEAR: Command Level Annotated Dataset for Ransomware Detection

Barak Bringoltz, Elisha Halperin, Ran Feraru et al.

The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis

Hoang Pham, The Anh Ta, Tom Jacobs et al.

LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation

Subhojyoti Khastagir, KISHALAY DAS, Pawan Goyal et al.

Selective Omniprediction and Fair Abstention

Sílvia Casacuberta, Varun Kanade

Accelerating Model-Free Optimization via Averaging of Cost Samples

Guido Carnevale, Giuseppe Notarstefano

Efficient Data Selection at Scale via Influence Distillation

Mahdi Nikdan, Vincent Cohen-Addad, Dan Alistarh et al.

Optimal Regret of Bandits under Differential Privacy

Achraf Azize, Yulian Wu, Junya Honda et al.

LaViDa: A Large Diffusion Model for Vision-Language Understanding

Shufan Li, Konstantinos Kallidromitis, Hritik Bansal et al.

FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts

Weihao Bo, Yanpeng Sun, Yu Wang et al.

Functional data analysis for multivariate distributions through Wasserstein slicing

Han Chen, Hans-Georg Müller

OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction

Juntong Wang, Xiyuan Wang, Muhan Zhang

Removing Concepts from Text-to-Image Models with Only Negative Samples

Hanwen Liu, Yadong Mu

Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation

Jiahuan Zhou, Chao Zhu, Zhenyu Cui et al.

DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models

Komal Kumar, Rao Anwer, Fahad Shahbaz Khan et al.

SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification

Hsi-Ling Chen, Chun-Shien Lu, Pau-Choo Chung

MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations

The Viet Bui, Tien Mai, Thanh Nguyen

Resolution of Simpson's paradox via the common cause principle

Arshak Hovhannisyan, Armen Allahverdyan

Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks

Yan Zhang, Yang Gao, Min Li

When Models Don’t Collapse: On the Consistency of Iterative MLE

Daniel Barzilai, Ohad Shamir

Cascaded Language Models for Cost-Effective Human–AI Decision-Making

Claudio Fanconi, Mihaela van der Schaar

AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction

Vansh Sharma, Harish Ganesh, Maryam Akram et al.

Simulation-Based Inference for Adaptive Experiments

Brian Cho, Aurelien Bibaut, Nathan Kallus

Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models

Byeonghu Na, Mina Kang, Jiseok Kwak et al.

Ask a Strong LLM Judge when Your Reward Model is Uncertain

Zhenghao Xu, Qin Lu, Qingru Zhang et al.

EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining

Boshen Xu, Yuting Mei, liu xinbi et al.

With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You

Fabian Gröger, Shuo Wen, Huyen Le et al.

Frequency-Aware Token Reduction for Efficient Vision Transformer

DongJae Lee, Jiwan Hur, Jaehyun Choi et al.

Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation

Jing Wang, Wonho Bae, Jiahong Chen et al.

Machine Unlearning under Overparameterization

Jacob Block, Aryan Mokhtari, Sanjay Shakkottai

QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks

Qian Chen, Linxin Yang, Akang Wang et al.

Transferring Causal Effects using Proxies

Manuel Iglesias-Alonso, Felix Schur, Julius von Kügelgen et al.

AutoJudge: Judge Decoding Without Manual Annotation

Roman Garipov, Fedor Velikonivtsev, Ivan Ermakov et al.

CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning

ao zhou, Jiayi Guan, Li Shen et al.

Non-Uniform Multiclass Learning with Bandit Feedback

Steve Hanneke, Amirreza Shaeiri, Hongao Wang

Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization

Zhenhao Zhong, Zhibin Gu, Pengpeng Yang et al.

Adaptively Coordinating with Novel Partners via Learned Latent Strategies

Benjamin Li, Shuyang Shi, Lucia Romero et al.

Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets

Yuandong Tian

Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs

Jiaqi Ding, Tingting Dan, Zhixuan Zhou et al.

Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL

Xingyu Chen, Shihao Ma, Runsheng Lin et al.

Value Gradient Guidance for Flow Matching Alignment

Zhen Liu, Tim Xiao, Carles Domingo i Enrich et al.

Convergence Rates of Constrained Expected Improvement

Haowei Wang, Jingyi Wang, Zhongxiang Dai et al.

Guiding LLM Decision-Making with Fairness Reward Models

Zara Hall, Melanie Subbiah, Thomas Zollo et al.

Transductive Conformal Inference for Full Ranking

Jean-Baptiste Fermanian, Pierre Humbert, Gilles Blanchard

Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing

Danial Samadi Vahdati, Tai Nguyen, Ekta Prashnani et al.

Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions

Jiehua Chen, Jiong Guo, Yinghui Wen

FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance

Ying Li, Chengfei Lyu, Huan Wang

StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant

Haibo Wang, Bo Feng, Zhengfeng Lai et al.

HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis

Mirela Ostrek, Michael Black, Justus Thies

Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics

Sungwoo Park

Metritocracy: Representative Metrics for Lite Benchmarks

Ariel Procaccia, Ben Schiffer, Serena Wang et al.

MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling

Liang Yin, Xudong Xie, Zhang Li et al.

SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference

Jiahui Wang, Haiyue Zhu, Haoren Guo et al.

HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations

Shuaicheng Zhang, Haohui Wang, Junhong Lin et al.

SolidGeo: Measuring Multimodal Spatial Math Reasoning in Solid Geometry

Peijie Wang, Chao Yang, Zhong-Zhi Li et al.

MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding

Fujun Han, Peng Ye

Fairness-Regularized Online Optimization with Switching Costs

Pengfei Li, Yuelin Han, Adam Wierman et al.

MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation

Wei Shen, Weiqi Liu, Mingde Chen et al.

Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions

Aobo Li, Jinjian Wu, Yongxu Liu et al.

Learning “Partner-Aware” Collaborators in Multi-Party Collaboration

Abhijnan Nath, Nikhil Krishnaswamy

EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths

Zhening Li, Armando Solar-Lezama, Yisong Yue et al.

CoreaSpeech: Korean Speech Corpus via JAMO-based Coreset Selection for Efficient and Robust Korean Speech Generation

Ki-Joong Kwon, Junho So, Sang-Hoon Lee

InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention

Qiang Xiang, Shuang Sun, Binglei Li et al.

Robust LLM Alignment via Distributionally Robust Direct Preference Optimization

Zaiyan Xu, Sushil Vemuri, Kishan Panaganti et al.

Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems

Nhan-Phu Chung, Jinhui Han, Bohan Li et al.

Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity

Yuhan Zhang, Long Zhuo, Ziyang Chu et al.

Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation

Zhangqi Jiang, Tingjin Luo, Xu Yang et al.

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

Bo Du, Xuekang Zhu, Xiaochen Ma et al.

Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning

Ximing Li, Yuanchao Dai, Bing Wang et al.

Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix

Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou et al.

A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing

Alex Clinton, Thomas Zeng, Yiding Chen et al.

Preference Distillation via Value based Reinforcement Learning

Minchan Kwon, Junwon Ko, Kangil kim et al.

MVSMamba: Multi-View Stereo with State Space Model

Jianfei Jiang, Qiankun Liu, Hongyuan Liu et al.

Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search

Yimin Jiang, Huibing Wang, Jinjia peng

The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement

Ruihan Yang, Fanghua Ye, Jian Li et al.

SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens

Yinhan He, Wendy Zheng, Yaochen Zhu et al.

Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model

Yudong Li, Jingyuan Wang, Xie Yu et al.

CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation

Ziao Wang, Sixing Yan, Kejing Yin et al.

LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks

Di Jin, Yuxiang Zhang, Bingdao Feng et al.

ComRank: Ranking Loss for Multi-Label Complementary Label Learning

Jing-Yi Zhu, Yi Gao, Miao Xu et al.

GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization

Shangshu Yu, Wen Li, Xiaotian Sun et al.

Continual Release Moment Estimation with Differential Privacy

Nikita Kalinin, Jalaj Upadhyay, Christoph Lampert

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering

Ruimeng Liu, Xin Zou, Chang Tang et al.

Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning

Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.

Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network

Dahao Xu, Jiahua Rao, Mingming Zhu et al.

BNMusic: Blending Environmental Noises into Personalized Music

Chi Zuo, Martin Møller, Pablo Martínez-Nuevo et al.

HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization

Zhijian Zhuo, Yutao Zeng, Ya Wang et al.

DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation

Jiahui Wang, Changhao Chen

Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data

Xingyu Ren, Pengwei Liu, Pengkai Wang et al.

Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration

Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning

Wanlong Liu, Junxiao Xu, Fei Yu et al.

SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking

Rishabh Agrawal, Kaushik Ranade, Aja Khanal et al.

MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes

Jin Zhang, Ruiheng Zhang, Zhe Cao et al.

Decoupled Entropy Minimization

Jing Ma, Hanlin Li, Xiang Xiang

DeltaFormer: Unlock the state space of Transformer

Mingyu Xu, Tenglong Ao, Jiaao He et al.

IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning

Xiong Zhang, Zhenli He, Changlong Fu et al.

On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent

Xinwen Zhang, Hongchang Gao

Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks

Yi Xiao, Qiangqiang Yuan, Kui Jiang et al.

Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis

Jing Hao, Yuxuan Fan, Yanpeng Sun et al.

Median Selection with Noisy and Structural Information

Chenglin Fan, Mingyu Kang

Entropy-Calibrated Label Distribution Learning

Yunan Lu, Bowen Xue, Xiuyi Jia et al.

Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment

Chen Liu, Wenfang Yao, Kejing Yin et al.

The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity

Ethan Hsu, Tony Cao, Lesia Semenova et al.

Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models

Liang Peng, Boxi Wu, Haoran Cheng et al.

$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization

Lin Zhu, Yifeng Yang, Xinbing Wang et al.

Measuring AI Ability to Complete Long Software Tasks

Thomas Kwa, Ben West, Joel Becker et al.

On the Entropy Calibration of Language Models

Steven Cao, Gregory Valiant, Percy Liang

AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models

Xize Cheng, Dongjie Fu, Chenyuhao Wen et al.

Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations

Da Ma, Gonghu Shang, Zhi Chen et al.

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

Hossein Askari, Yadan Luo, Hongfu Sun et al.

MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation

Chenhui Zhu, Yilu Wu, Shuai Wang et al.

Inductive Domain Transfer In Misspecified Simulation-Based Inference

Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz et al.

ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding

Haonan Wang, Jingyu Lu, Hongrui Li et al.

Leader360V: A Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment

WEIMING ZHANG, Dingwen Xiao, Aobotao DAI et al.

FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation

Fan Yang, Yousong Zhu, Xin Li et al.

Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching

Jing Zuo, Jiaqi Wang, Yonggang Qi et al.

Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer

Xuelin Shen, Quan Liu, Jiayin Xu et al.

What Makes a Reward Model a Good Teacher? An Optimization Perspective

Noam Razin, Zixuan Wang, Hubert Strauss et al.

Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models

Jie Zhao, Kang Cheong

Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models

Mingge Lu, Jingwei Sun, Junqing Lin et al.

Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields

Xixian Liu, Rui Jiao, ZHIYUAN LIU et al.

Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation

Yifu Luo, Xinhao Hu, Keyu Fan et al.

A Hierarchy of Graphical Models for Counterfactual Inferences

Hongshuo Yang, Elias Bareinboim

Counterfactual Image Editing with Disentangled Causal Latent Space

Yushu Pan, Elias Bareinboim

Sound Logical Explanations for Mean Aggregation Graph Neural Networks

Matthew Morris, Ian Horrocks

Confounding Robust Deep Reinforcement Learning: A Causal Approach

Mingxuan Li, Junzhe Zhang, Elias Bareinboim

Smooth Quadratic Prediction Markets

Enrique Nueve, Bo Waggoner

DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks

Wentao Wu, Shiyuan He, Jianhua Guo

Scalable Best-of-N Selection for Large Language Models via Self-Certainty

Zhewei Kang, Xuandong Zhao, Dawn Song

Adversarial Diffusion for Robust Reinforcement Learning

Daniele Foffano, Alessio Russo, Alexandre Proutiere

Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers

Yongqi Ding, Lin Zuo, Mengmeng Jing et al.

Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games

Tongyang Li, Xinzhao Wang, Yexin Zhang

Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference

Stephen Zhao, Aidan Li, Rob Brekelmans et al.

Large Language Models as End-to-end Combinatorial Optimization Solvers

Xia Jiang, Yaoxin Wu, Minshuo Li et al.

Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization

Zhibin Gu, weili wang

Siegel Neural Networks

Xuan Son Nguyen, Aymeric Histace, Nistor Grozavu

PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series

Xinghong Chen, Weilin Wu, Kunping Yang et al.

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules

Yueqi Zhang, Peiwen Yuan, Yiwei Li et al.

Gaussian Processes for Shuffled Regression

Masahiro Kohjima

Contextual Tokenization for Graph Inverted Indices

Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti et al.

Multi-Objective One-Shot Pruning for Large Language Models

Weiyu Chen, Hansi Yang, Yunhao Gou et al.

A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors

Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson

SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval

Jiahang Zhang, Lilang Lin, Shuai Yang et al.

ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning

Hritam Basak, Zhaozheng Yin

Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective

Chenwang Wu, Yiu-ming Cheung, Bo Han et al.

SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions

Cristian Sbrolli, Matteo Matteucci

Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks

Luca Arnaboldi, Bruno Loureiro, Ludovic Stephan et al.

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing

Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel et al.

SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction

Yixiao Zhou, Xiaoqing Lyu, Hongxiang Lin et al.

EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation

Chao Song, ZHIYUAN LIU, Han Huang et al.

Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining

Raghuveer Thirukovalluru, Rui Meng, Ye Liu et al.

Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning

Sid Bharthulwar, Stone Tao, Hao Su

On the Sample Complexity of Differentially Private Policy Optimization

Yi He, Xingyu Zhou

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness

Yijun Liang, Ming Li, Chenrui Fan et al.

Online Strategic Classification With Noise and Partial Feedback

Tianrun Zhao, Xiaojie Mao, Yong Liang

Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs

Mehran Shakerinava, Siamak Ravanbakhsh, Adam Oberman

Ascent Fails to Forget

Ioannis Mavrothalassitis, Pol Puigdemont, Noam Levi et al.

MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts

Mahmoud Selim, Sriharsha Bhat, Karl H. Johansson

Generative Distribution Embeddings

Nic Fishman, Gokul Gowri, Peng Yin et al.

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need

Kecheng Chen, Pingping Zhang, Hui Liu et al.

Improving Progressive Generation with Decomposable Flow Matching

Moayed Haji-Ali, Willi Menapace, Ivan Skorokhodov et al.

Modelling the control of offline processing with reinforcement learning

Eleanor Spens, Neil Burgess, Tim Behrens

FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation

Zeyu Zhang, Yiran Wang, Danning Li et al.

Beyond Last-Click: An Optimal Mechanism for Ad Attribution

Nan An, Weian Li, Qi Qi et al.

Sampled Estimators For Softmax Must Be Biased

Li-Chung Lin, Yaxu Liu, Chih-Jen Lin

PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture

Yi Liu, Yang Liu, Leqian Zheng et al.

Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models

Yuanxi Yu, Fan Jiang, Xinzhu Ma et al.

Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction

Qianxun Xu, Zuchuan Li

Subgraph Federated Learning via Spectral Methods

Javad Aliakbari, Johan Oestman, Ashkan Panahi et al.

Sequential Monte Carlo for Policy Optimization in Continuous POMDPs

Hany Abdulsamad, Sahel Mohammad Iqbal, Simo Sarkka

More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models

Hongkai Lin, Dingkang Liang, Mingyang Du et al.

Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection

Junxi Chen, Liang Li, Yunbin Tu et al.

PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors

Hilal Asi, Vitaly Feldman, Hannah Keller et al.

Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting