Most Cited NEURIPS "state tracking" Papers

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

Dahao Xu, Jiahua Rao, Mingming Zhu et al.

Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity

Qiyao Wei, Edward R Morrell, Lea Goetz et al.

Matchings Under Biased and Correlated Evaluations

Amit Kumar, Nisheeth K. Vishnoi

HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion

Lin Wu, Zhixiang Chen, Jianglin Lan

Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration

Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.

Efficient Randomized Experiments Using Foundation Models

Piersilvio De Bartolomeis, Javier Abad, Guanbo Wang et al.

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration

Yifeng Yu, Lu Yu

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning

Wanlong Liu, Junxiao Xu, Fei Yu et al.

RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling

Xiuying Wei, Anunay Yadav, Razvan Pascanu et al.

What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers

Yi Wang, Jiaze Wang, Ziyu Guo et al.

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

Rishabh Agrawal, Kaushik Ranade, Aja Khanal et al.

Tight Bounds for Answering Adaptively Chosen Concentrated Queries

Emma Rapoport, Edith Cohen, Uri Stemmer

Revisiting Glorot Initialization for Long-Range Linear Recurrences

Noga Bar, Mariia Seleznova, ‪Yotam Alexander‬‏ et al.

Decoupled Entropy Minimization

Jing Ma, Hanlin Li, Xiang Xiang

LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought

Cheng Yan, Felix Mohr, Tom Viering

Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT

Jiaheng Zhou, Wei Fang, Luyuan Xie et al.

Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness

Yanyu Ren, Li Chen, Dan Li et al.

TreeSplat: Mergeable Tree for Deformable Gaussian Splatting

Qiuhong Shen, Xingyi Yang, Xinchao Wang

SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data

Xin Zhang, Mingxin Li, Yanzhao Zhang et al.

Majority of the Bests: Improving Best-of-N via Bootstrapping

Amin Rakhsha, Kanika Madan, Tianyu Zhang et al.

FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning

Yunbo Li, Jiaping Gui, Zhihang Deng et al.

Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go

Yichuan Ma, Linyang Li, Yongkang Chen et al.

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

Xiong Zhang, Zhenli He, Changlong Fu et al.

Graph Diffusion that can Insert and Delete

Matteo Ninniri, Marco Podda, Davide Bacciu

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

Xinwen Zhang, Hongchang Gao

VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness

Minghao Yang, Zechen Bai, Jing Lin et al.

Incremental Sequence Classification with Temporal Consistency

Lucas Maystre, Gabriel Barello, Tudor Berariu et al.

VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs

Shmuel Berman, Jia Deng

Median Selection with Noisy and Structural Information

Chenglin Fan, Mingyu Kang

AGI-Elo: How Far Are We From Mastering A Task?

Shuo Sun, Yimin Zhao, Christina Lee et al.

Towards Understanding the Mechanisms of Classifier-Free Guidance

Xiang Li, Rongrong Wang, Qing Qu

Learning from positive and unlabeled examples -Finite size sample bounds

Farnam Mansouri, Shai Ben-David

TRACE: Contrastive learning for multi-trial time series data in neuroscience

Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm et al.

BLEUBERI: BLEU is a surprisingly effective reward for instruction following

Yapei Chang, Yekyung Kim, Michael Krumdick et al.

Generalization Bounds for Model-based Algorithm Configuration

Zhiyang Chen, Hailong Yao, Xia Yin

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

Liang Peng, Boxi Wu, Haoran Cheng et al.

Towards Self-Refinement of Vision-Language Models with Triangular Consistency

Yunlong Deng, Guangyi Chen, Tianpei Gu et al.

Measuring AI Ability to Complete Long Software Tasks

Thomas Kwa, Ben West, Joel Becker et al.

Causal Explanation-Guided Learning for Organ Allocation

Alessandro Marchese, Jeroen Berrevoets, Sam Verboven

On the Entropy Calibration of Language Models

Steven Cao, Gregory Valiant, Percy Liang

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?

Belinda Li, Been Kim, Zi Wang

WMCopier: Forging Invisible Watermarks on Arbitrary Images

Ziping Dong, Chao Shuai, Zhongjie Ba et al.

Sharp Gaussian approximations for Decentralized Federated Learning

SOHAM BONNERJEE, Sayar Karmakar, Wei Biao Wu

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

Hossein Askari, Yadan Luo, Hongfu Sun et al.

Private Training Large-scale Models with Efficient DP-SGD

Liangyu Wang, Junxiao Wang, Jie Ren et al.

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

Haonan Wang, Jingyu Lu, Hongrui Li et al.

CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations

Guangyi Chen, Yunlong Deng, Peiyuan Zhu et al.

Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization

Ziqi Wang, Jiashun Liu, Ling Pan

Private Geometric Median in Nearly-Linear Time

Syamantak Kumar, Daogao Liu, Kevin Tian et al.

PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs

Hanzhen Zhao, Ding Shihong, Cong Fang et al.

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

Mingge Lu, Jingwei Sun, Junqing Lin et al.

Learning-Augmented Online Bipartite Fractional Matching

XianJun, Davin Choo, Billy Jin, Yongho Shin

A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations

Kyra Kadhim, Jonas Beck, Ziwei Huang et al.

DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers

Xuyang Zhong, Haochen Luo, Chen Liu

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

Yifu Luo, Xinhao Hu, Keyu Fan et al.

Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification

Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar et al.

PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion

Linlian Jiang, Rui Ma, Li Gu et al.

Non-equilibrium Annealed Adjoint Sampler

Jaemoo Choi, Yongxin Chen, Molei Tao et al.

Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments

Shitong Xu, Yiyuan Yang, Niki Trigoni et al.

I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions

Shuhong Liu, Lin Gu, Ziteng Cui et al.

DGCBench: A Deep Graph Clustering Benchmark

Benyu Wu, Yue Liu, Qiaoyu Tan et al.

Unified Transferability Metrics for Time Series Foundation Models

Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.

Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies

Ziye Wang, Li Kang, Yiran Qin et al.

Bernstein–von Mises for Adaptively Collected Data

Kevin Du, Yash Nair, Lucas Janson

What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes

Candace Ross, Florian Bordes, Adina Williams et al.

Residual Stream Analysis of Overfitting And Structural Disruptions

Quan Liu, Han Zhou, Wenquan Wu et al.

Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression

Yeichan Kim, Ilmun Kim, Seyoung Park

One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution

Yujing Sun, Lingchen Sun, Shuaizheng Liu et al.

Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain

Jingmin An, Yilong Song, Ruolin Yang et al.

On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning

Anas Barakat, Souradip Chakraborty, Peihong Yu et al.

Adversarial Diffusion for Robust Reinforcement Learning

Daniele Foffano, Alessio Russo, Alexandre Proutiere

Inference-time Alignment in Continuous Space

Yige Yuan, Teng Xiao, Li Yunfan et al.

Marginal-Nonuniform PAC Learnability

Steve Hanneke, Shay Moran, Maximilian Thiessen

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

Yongqi Ding, Lin Zuo, Mengmeng Jing et al.

Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs

Xiangcheng Zhang, Yige Hong, Weina Wang

TimeWak: Temporal Chained-Hashing Watermark for Time Series Data

Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad et al.

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

Tongyang Li, Xinzhao Wang, Yexin Zhang

Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications

Agam Shah, Siddhant Sukhani, Huzaifa Pardawala et al.

Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback

Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.

Constant Bit-size Transformers Are Turing Complete

Qian Li, Yuyi Wang

Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods

Junhyung Lyle Kim, Brandon Augustino, Dylan Herman et al.

LinPrim: Linear Primitives for Differentiable Volumetric Rendering

Nicolas von Lützow, Matthias Niessner

Wasserstein Transfer Learning

Kaicheng Zhang, Sinian Zhang, Doudou Zhou et al.

IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering

Hengyu Liu, Chenxin Li, Zhengxin Li et al.

A Semantic Parsing Framework for End-to-End Time Normalization

Xin Su, Sungduk Yu, Phillip Howard et al.

Balanced Active Inference

Boyu Chen, Zhixiang Zhou, Liuhua Peng et al.

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

Stephen Zhao, Aidan Li, Rob Brekelmans et al.

NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling

Hao Zheng, Shiyu Liang, Yuting Zheng et al.

Online Two-Stage Submodular Maximization

Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis et al.

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving

Huacan Wang, Ziyi Ni, Shuo Zhang et al.

Gaussian Processes for Shuffled Regression

Masahiro Kohjima

Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks

Jingyuan Liu, Hao Qiu, Lin Yang et al.

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

Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson

Data-Adaptive Exposure Thresholds under Network Interference

Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan

Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point

Hongjie Chen, Jingqiu Ding, Yiding Hua 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.

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

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

TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models

Hsin Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng et al.

Explainably Safe Reinforcement Learning

Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.

Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction

Yisen Gao, Xingcheng Fu, Qingyun Sun et al.

RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation

Zixun Wang, Ben Dai

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts

Yiming Wang, Pei Zhang, Jialong Tang et al.

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

Cristian Sbrolli, Matteo Matteucci

Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent

Ziyang Wei, Jiaqi Li, Zhipeng Lou et al.

Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold

Ido Cohen, Ronen Talmon

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

Yixiao Zhou, Xiaoqing Lyu, Hongxiang Lin et al.

Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization

Haotian Luo, Haiying He, Yibo Wang et al.

Density Ratio-Free Doubly Robust Proxy Causal Learning

Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier et al.

NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning

Wonje Choi, Jooyoung Kim, Honguk Woo

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

Chao Song, ZHIYUAN LIU, Han Huang et al.

DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research

Shanawaj Sahebpatel Madarkar, Mahajabeen Madarkar, Madhumitha Venkatesh et al.

Fast Training of Large Kernel Models with Delayed Projections

Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit et al.

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

Mahmoud Selim, Sriharsha Bhat, Karl H. Johansson

Learning to Rank for In-Context Example Retrieval

Yuwen Ji, Luodan Zhang, Ambyer han et al.

QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training

David Dai, Peilin Chen, Chanakya Ekbote et al.

Cost-Aware Contrastive Routing for LLMs

Reza Shirkavand, Shangqian Gao, Peiran Yu et al.

TAPIP3D: Tracking Any Point in Persistent 3D Geometry

Bowei Zhang, Lei Ke, Adam Harley et al.

Modelling the control of offline processing with reinforcement learning

Eleanor Spens, Neil Burgess, Tim Behrens

EVAAA: A Virtual Environment Platform for Essential Variables in Autonomous and Adaptive Agents

Sungwoo Lee, Jungmin Lee, Sohee Kim et al.

ECO: Evolving Core Knowledge for Efficient Transfer

Fu Feng, Yucheng Xie, Ruixiao Shi et al.

Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings

Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould

Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training

Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle

Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers

Yixiao Huang, Hanlin Zhu, Tianyu Guo et al.

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

Zeyu Zhang, Yiran Wang, Danning Li et al.

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization

Junpyo Seo, HanbinKoo, jieun yook et al.

BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent

Shaojie Zhang, Ruoceng Zhang, Pei Fu et al.

Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs

Mianchu Wang, Giovanni Montana

LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion

Yuan Guo, Qian Ma, Hui Li et al.

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

Yi Liu, Yang Liu, Leqian Zheng et al.

Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning

Navita Goyal, Hal Daumé III, Alexandre Drouin et al.

Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction

Wenbo Shang, Zihan Feng, Yang Yajun et al.

Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction

Qianxun Xu, Zuchuan Li

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

Zedong Liu, Shenggan Cheng, Guangming Tan et al.

Information-Theoretic Discrete Diffusion

Moongyu Jeon, Sangwoo Shin, Dongjae Jeon et al.

EngiBench: A Framework for Data-Driven Engineering Design Research

Florian Felten, Gabriel Apaza, Gerhard Bräunlich et al.

RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels

Zhiqiang Kou, Yucheng Xie, Hailin Wang et al.

A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement

Linlin Fan, Xingyu Liu, Mingliang Zhou et al.

Causal Discovery over Clusters of Variables in Markovian Systems

Tara Anand, Adèle Ribeiro, Jin Tian et al.

Towards Understanding Transformers in Learning Random Walks

Wei Shi, Yuan Cao

DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling

Kairun Wen, Yuzhihuang, Runyu Chen et al.

PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning

Xiaogang Jia, Qian Wang, Anrui Wang et al.

Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination

Rakshit Trivedi, Kartik Sharma, David Parkes

NS-Gym: A Comprehensive and Open-Source Simulation Framework for Non-Stationary Markov Decision Processes

Nathaniel S. Keplinger, Baiting Luo, Yunuo Zhang et al.

Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows

Adriel Sosa Marco, John D. Kirwan, Alexia Toumpa et al.

The Emergence of Abstract Thought in Large Language Models Beyond Any Language

Yuxin Chen, Yiran Zhao, Yang Zhang et al.

DroneAudioset: An Audio Dataset for Drone-based Search and Rescue

Chitralekha Gupta, Soundarya Ramesh, Praveen Sasikumar et al.

Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding

Pei-Shuo Wang, Jian-Jia Chen, Chun-Che Yang et al.

Robust Label Proportions Learning

Jueyu Chen, Wantao Wen, Yeqiang Wang et al.

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing

Shreelekha Revankar, Utkarsh Mall, Cheng Perng Phoo et al.

Implicit Modeling for Transferability Estimation of Vision Foundation Models

Yaoyan Zheng, Huiqun Wang, Nan Zhou et al.

Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States

Runze Xia, Richard Jiang

Federated Continual Learning via Orchestrating Multi-Scale Expertise

Xiaoyang Yi, Yang Liu, Binhan Yang et al.

REINFORCE Converges to Optimal Policies with Any Learning Rate

Samuel Robertson, Thang Chu, Bo Dai et al.

Revisiting Orbital Minimization Method for Neural Operator Decomposition

Jongha (Jon) Ryu, Samuel Zhou, Gregory Wornell

OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations

PROFIT: A Specialized Optimizer for Deep Fine Tuning

Anirudh Chakravarthy, Shuai Zheng, Xin Huang et al.

CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D

Francis Ward, Teun van der Weij, Hanna Gábor et al.

Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration

Thomas Decker, Volker Tresp, Florian Buettner

Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs

Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al.

Aligning Text-to-Image Diffusion Models to Human Preference by Classification

Longquan Dai, Xiaolu Wei, wang he et al.

Dataset Distillation of 3D Point Clouds via Distribution Matching

Jae-Young Yim, Dongwook Kim, Jae-Young Sim

Discovering Compositional Hallucinations in LVLMs

Sibei Yang, Ge Zheng, Jiajin Tang et al.

Learning-Augmented Facility Location Mechanisms for the Envy Ratio Objective

Haris Aziz, Yuhang Guo, Alexander Lam et al.

Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens

Bohan Wang, Mingze Zhou, Zhongqi Yue et al.

Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers

Ziyi Fang, Lingxiao Huang, Runkai Yang

Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks

Wentao Deng, Jiahuan Pei, Zhiwei Xu et al.

Massive Sound Embedding Benchmark (MSEB)

Georg Heigold, Ehsan Variani, Tom Bagby et al.

Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples

Suqin Yuan, Lei Feng, Bo Han et al.

Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm

Yang Chen, Menglin Zou, Jiaqi Zhang et al.

Don’t Give Up on Democratizing AI for the Wrong Reasons

Annette Zimmermann, Andrew Zeppa, Srijan Pandey et al.

Online Multi-Class Selection with Group Fairness Guarantee

Faraz Zargari, Hossein Jazi, Lyndon Hallett et al.

PINNs with Learnable Quadrature

Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh

Metric Automata Theory: A Unifying Theory of RNNs

Adam Dankowiakowski, Alessandro Ronca

PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments

Weijie Zhou, Xuantang Xiong, Yi Peng et al.

Towards General Continuous Memory for Vision-Language Models

Wenyi WU, Zixuan Song, Kun Zhou et al.

Sum Estimation under Personalized Local Differential Privacy

Dajun Sun, Wei Dong, Yuan Qiu et al.

HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses

Zhichao Deng, Zhikun Liu, Junxue Wang et al.

Sketched Gaussian Mechanism for Private Federated Learning

Qiaobo Li, Zhijie Chen, Arindam Banerjee

Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning

Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.

Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering

Liang Zhang, Justin Lieffers, Adarsh Pyarelal

Who Reasons in the Large Language Models?

Jie Shao, Jianxin Wu

Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics

Zhiyang Xun, Shivam Gupta, Eric Price

Opinion Maximization in Social Networks by Modifying Internal Opinions

Gengyu Wang, Runze Zhang, Zhongzhi Zhang

Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations

Xuyang Zhong, Yixiao Huang, Chen Liu

Formal Models of Active Learning from Contrastive Examples

Farnam Mansouri, Hans Simon, Adish Singla et al.

Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis

Zeqin Yu, Haotao Xie, Jian Zhang et al.

macOSWorld: A Multilingual Interactive Benchmark for GUI Agents

Pei Yang, Hai Ci, Mike Zheng Shou

Program Synthesis via Test-Time Transduction

Kang-il Lee, Jahyun Koo, Seunghyun Yoon et al.

CaMiT: A Time-Aware Car Model Dataset for Classification and Generation

Frédéric Lin, Biruk Abere Ambaw, Adrian Popescu et al.

Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data

Tian Gao, Songtao Lu, Junkyu Lee et al.

Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization

Jinyong Jeong, Hyungu Kahng, Seoung Bum Kim

MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction

Zeyue Zhang, Heng Ping, Peiyu Zhang et al.

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks

Hongjin Qian, Zheng Liu, Chao Gao et al.

On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection

Weiqing He, Xiang Li, Tianqi Shang et al.

Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain

Trinity Chung, Yuchen Shen, Nathan Kong et al.

PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation

Jiabei Cheng, Changxi Chi, Jingbo Zhou et al.

Caption This, Reason That: VLMs Caught in the Middle

Zihan Weng, Lucas Gomez, Taylor Webb et al.

Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means

Anna van Elst, Igor Colin, Stephan Clémençon

MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning

Seong-Hyeon Hwang, Soyoung Choi, Steven Whang

Strategic Classification with Non-Linear Classifiers

Benyamin Trachtenberg, Nir Rosenfeld