Most Cited NEURIPS "multi-robot systems" Papers

Fair Continuous Resource Allocation with Equality of Impact

Blossom Metevier, Dennis Wei, Karthikeyan Natesan Ramamurthy et al.

Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation

Yuxuan Zhang, Zhenbo Shi, han ye et al.

A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity

Kuat Gazizov, Miguel A. Carreira-Perpinan

Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation

Yangtao Zhou, Hua Chu, chen et al.

Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions

Yanna Ding, Songtao Lu, Yingdong Lu et al.

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting

Haobo Li, Eunseo Jung, Zixin CHEN et al.

$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation

Weilun Feng, Haotong Qin, Chuanguang Yang et al.

Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts

Chen Li, Huiying Xu, Changxin Gao et al.

Generalizing Experience for Language Agents with Hierarchical MetaFlows

Shengda Fan, Xin Cong, Zhong Zhang et al.

Stratify or Die: Rethinking Data Splits in Image Segmentation

Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller et al.

VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models

Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang et al.

Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models

Shenglong Zhou, Manjiang Yin, Leiyu Sun et al.

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints

Changyao Tian, Hao Li, Gen Luo et al.

Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport

Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.

Are Language Models Efficient Reasoners? A Perspective from Logic Programming

Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami et al.

DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning

Sikai Bai, Haoxi Li, Jie ZHANG et al.

SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models

Yibo Wang, Guangda Huzhang, Qingguo Chen et al.

S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation

Junlang Huang, Chen Hao, Li Luo et al.

Monoculture or Multiplicity: Which Is It?

Mila Gorecki, Moritz Hardt

A Principled Path to Fitted Distributional Evaluation

Sungee Hong, Jiayi Wang, Zhengling Qi et al.

The Quotient Bayesian Learning Rule

Mykola Lukashchuk, Raphaël Trésor, Wouter Nuijten et al.

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

Sheng Wang, Pengan CHEN, Jingqi Zhou et al.

TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation

Zhekai Chen, Ruihang Chu, Yukang Chen et al.

IOSTOM: Offline Imitation Learning from Observations via State Transition Occupancy Matching

Quang Anh Pham, Janaka Brahmanage, Tien Mai et al.

Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets

Ji Xia, Yizi Zhang, Shuqi Wang et al.

Overcoming Challenges of Long-Horizon Prediction in Driving World Models

Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso et al.

InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection

Jinguo Luo, Weihong Ren, Quanlong Zheng et al.

Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation

Chen YAN, Weina Wang, Lei Ying

Reverse Engineering Human Preferences with Reinforcement Learning

Lisa Alazraki, Yi-Chern Tan, Jon Ander Campos et al.

Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback

Jing Dong, Baoxiang Wang, Yaoliang Yu

Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation

Wenbin An, Jiahao Nie, Feng Tian et al.

FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis

xichen xu, Yanshu Wang, Jinbao Wang et al.

ELDET: Early-Learning Distillation with Noisy Labels for Object Detection

Dongmin Choi, Sangbin Lee, EungGu Yun et al.

Safe and Stable Control via Lyapunov-Guided Diffusion Models

Xiaoyuan Cheng, Xiaohang Tang, Yiming Yang

OrdShap: Feature Position Importance for Sequential Black-Box Models

Davin Hill, Brian Hill, Aria Masoomi et al.

Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?

Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit

One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head

Junhao Xia, Haotian Zhu, Shuchao Pang et al.

ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility

Yihang Zhou, Chen Wei, Minghao Sun et al.

The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation

Sara Ahmadian, Edith Cohen, Uri Stemmer

Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.

URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training

Dongyang Fan, Vinko Sabolčec, Martin Jaggi

Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks

Alper KALLE, Théo Rudkiewicz, Mohamed Ouerfelli et al.

Embodied Crowd Counting

Runling Long, Yunlong Wang, Jia Wan et al.

CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning

Yifei Zhang, Hao Zhu, Junhao Dong et al.

Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context

Yijia Dai, Zhaolin Gao, Yahya Sattar et al.

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection

Xin Gao, Jiyao Liu, Guanghao Li et al.

Conformal Online Learning of Deep Koopman Linear Embeddings

Ben Gao, Jordan Patracone, Stephane Chretien et al.

ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models

Bosong Huang, Ming Jin, Yuxuan Liang et al.

CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing

Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn et al.

Isotropic Noise in Stochastic and Quantum Convex Optimization

Annie Marsden, Liam O'Carroll, Aaron Sidford et al.

VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting

Hoonhee Cho, Jae-Young Kang, Giwon Lee et al.

The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses

Greg Gluch, Berkant Turan, Sai Ganesh Nagarajan et al.

Approximate Domain Unlearning for Vision-Language Models

Kodai Kawamura, Yuta Goto, Rintaro Yanagi et al.

MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks

Dengfeng Xue, Wenjuan Li, Yifan Lu et al.

Improving Formal Reasoning of Transformer with State Stack

Kechi Zhang, Ge Li, Jia Li et al.

TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses

Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim et al.

Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation

Zhi-Kai Chen, Jun-Peng Jiang, Han-Jia Ye et al.

Learning from Demonstrations via Capability-Aware Goal Sampling

Yuanlin Duan, Yuning Wang, Wenjie Qiu et al.

V-CECE: Visual Counterfactual Explanations via Conceptual Edits

Nikolaos Spanos, Maria Lymperaiou, Giorgos Filandrianos et al.

Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization

Milad Sefidgaran, Kimia Nadjahi, Abdellatif Zaidi

Model Merging in Pre-training of Large Language Models

Yunshui Li, Yiyuan Ma, Shen Yan et al.

Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling

Yanchen Luo, ZHIYUAN LIU, Yi Zhao et al.

Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals

Qinsi Wang, Jinghan Ke, Hancheng Ye et al.

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot et al.

Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error

Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos

One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning

Zijian Guo, İlker Işık, H M Sabbir Ahmad et al.

MixAT: Combining Continuous and Discrete Adversarial Training for LLMs

Csaba Dékány, Stefan Balauca, Dimitar I. Dimitrov et al.

SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning

Chen Chen, Majid Abdolshah, Violetta Shevchenko et al.

SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation

Enzhi Zhang, Peng Chen, Rui Zhong et al.

T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints

Thomas Eiter, Katsumi Inoue, Nelson Higuera et al.

Emerging Risks from Embodied AI Require Urgent Policy Action

Jared Perlo, Alexander Robey, Fazl Barez et al.

GVPO: Group Variance Policy Optimization for Large Language Model Post-Training

Kaichen Zhang, Yuzhong Hong, Junwei Bao et al.

Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World

Qinting Jiang, Chuyang Ye, Dongyan Wei et al.

Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning

Guancheng Wan, Xu Cheng, Run Liu et al.

Can Agent Fix Agent Issues?

Alfin Wijaya Rahardja, Junwei Liu, Weitong Chen et al.

FracFace: Breaking The Visual Clues—Fractal-Based Privacy-Preserving Face Recognition

Wanying Dai, Beibei Li, Naipeng Dong et al.

Knot So Simple: A Minimalistic Environment for Spatial Reasoning

Zizhao Chen, Yoav Artzi

Enhancing Privacy in Multimodal Federated Learning with Information Theory

Tianzhe Xiao, Yichen Li, Yining Qi et al.

Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms

Guangyi Zhang, Yanhao Wang, Chengliang Chai et al.

SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Tasks

Yilun Zhao, Kaiyan Zhang, Tiansheng Hu et al.

OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance

Yuhan Yao, Feifei Kou, Lei Shi et al.

FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network

Fangtong Sun, Congyu Li, Ke Yang et al.

Erasing Conceptual Knowledge from Language Models

Rohit Gandikota, Sheridan Feucht, Samuel Marks et al.

Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions

Liuyuan Jiang, Quan Xiao, Lisha Chen et al.

On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning

Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge et al.

Optimal Best Arm Identification under Differential Privacy

Marc Jourdan, Achraf Azize

Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning

Jiawei Huang, Minming Li, Hu Ding

Zero-shot World Models via Search in Memory

Federico Malato, Ville Hautamäki

A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond

Zicheng Hu, Cheng Chen

Valid Inference with Imperfect Synthetic Data

Yewon Byun, Shantanu Gupta, Zachary Lipton et al.

Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models

Benjamin Dupuis, Dario Shariatian, Maxime Haddouche et al.

Spectral Compressive Imaging via Chromaticity-Intensity Decomposition

Xiaodong Wang, Zijun He, Ping Wang 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.

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification

Sebastian Ojeda, Rafael Velasquez, Nicolás Aparicio et al.

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks

Xingbo Fu, Zhenyu Lei, Zihan Chen et al.

Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery

Jizhou Han, Shaokun Wang, Yuhang He et al.

UMoE: Unifying Attention and FFN with Shared Experts

Yuanhang Yang, Chaozheng Wang, Jing Li

BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning

Xuechen Zhang, Zijian Huang, Yingcong Li et al.

Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance

meng wang, Fan Wu, Ruihui Li et al.

Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models

Michael Plainer, Hao Wu, Leon Klein et al.

Scalable Exploration via Ensemble++

Yingru Li, Jiawei Xu, Baoxiang Wang et al.

Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling

Jiaqi Wang, Zhiguang Cao, Peng Zhao et al.

Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Andrew Zhao, Yiran Wu, Yang Yue et al.

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Shenzhi Wang, Le Yu, Chang Gao et al.

Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs

Tengyun Ma, Jiaqi Yao, Daojing He et al.

Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections

Berken Utku Demirel, Christian Holz

Parameter-free Algorithms for the Stochastically Extended Adversarial Model

Shuche Wang, Adarsh Barik, Peng Zhao et al.

Problem-Parameter-Free Decentralized Bilevel Optimization

Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang

Robust Regression of General ReLUs with Queries

Ilias Diakonikolas, Daniel Kane, Mingchen Ma

ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model

Jialong Zuo, Yongtai Deng, Mengdan Tan et al.

Simple and Efficient Heterogeneous Temporal Graph Neural Network

Yili Wang, Tairan Huang, Changlong He et al.

Provable Meta-Learning with Low-Rank Adaptations

Jacob Block, Sundararajan Srinivasan, Liam Collins et al.

RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo

Jueun Ko, Hyewon Park, Hyesong Choi et al.

Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm

James Cuin, Davide Carbone, O. Deniz Akyildiz

Exponential Dynamic Energy Network for High Capacity Sequence Memory

Arjun Karuvally, Pichsinee Lertsaroj, Terrence Sejnowski et al.

TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition

Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.

DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization

YUANTIAN SHAO, Yuanteng Chen, Peisong Wang et al.

HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models

Han Liu, Jiaqi Li, Zhi Xu et al.

Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem

Elvis Dohmatob

Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery

Zhe Zhao, HaiBin Wen, Xianfu Liu et al.

OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation

Mohamed Abdelfattah, Kaouther Messaoud, Alexandre Alahi

LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis

Berkay Döner, Thorir Mar Ingolfsson, Luca Benini et al.

IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization

Zenghui Yang, Xingquan Zuo, Hai Huang et al.

Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

Zhang Junyu, Lizhong Ding, MinghongZhang et al.

Fantastic Bugs and Where to Find Them in AI Benchmarks

Sang Truong, Yuheng Tu, Michael Hardy et al.

FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization

Xunzhao Yu

SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography

Nima Hadidi, Jason Chan, Ebrahim Feghhi et al.

Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time

Daniel D. Richman, Jessica Karaguesian, Carl-Mikael Suomivuori et al.

Impartial Selection with Predictions

Rethinking PCA Through Duality

Jan Quan, Johan Suykens, Panagiotis Patrinos

Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis

Konstantinos Oikonomidis, Jan Quan, Panagiotis Patrinos

Energy-based generator matching: A neural sampler for general state space

Dongyeop Woo, Minsu Kim, Minkyu Kim et al.

OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions

Cheng Luo, Jianghui Wang, Bing Li et al.

Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies

HaiYang Li, Liao Yu, Qiang Yu et al.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix

Ming Wen, Jiaqi Zhu, Yuedong Xu et al.

Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards

Yuwei Cheng, Zifeng Zhao, Haifeng Xu

Generalization Bounds for Rank-sparse Neural Networks

Antoine Ledent, Rodrigo Alves, Yunwen Lei

On Agnostic PAC Learning in the Small Error Regime

Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering

Rongyang Zhang, Yuqing Huang, Chengqiang Lu et al.

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking

Xiangqi Wang, Yue Huang, Yanbo Wang et al.

LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?

Ziyuan He, Yuxuan Wang, Jiaqi Li et al.

Towards Robust Uncertainty Calibration for Composed Image Retrieval

Yifan Wang, Wuliang Huang, Yufan Wen et al.

Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers

Nima Hosseini Dashtbayaz, Hesam Salehipour, Adrian Butscher et al.

Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning

Vittorio Giammarino, Ruiqi Ni, Ahmed Qureshi

DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads

Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha et al.

The Leaderboard Illusion

Shivalika Singh, Yiyang Nan, Alex Wang et al.

REMI: Reconstructing Episodic Memory During Internally Driven Path Planning

Zhaoze Wang, Genela Morris, Dori Derdikman et al.

NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data

Azadeh Motamedi, Jae-Mo Kang, Il-Min Kim

Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?

Yijie Hu, Zihao Zhou, Kaizhu Huang et al.

Look-Ahead Reasoning on Learning Platforms

Haiqing Zhu, Tijana Zrnic, Celestine Mendler-Dünner

Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models

Die Chen, Zhiwen Li, Cen Chen et al.

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

An Ellipsoid Algorithm for Online Convex Optimization

Zakaria Mhammedi

Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?

Tianyu Lin, Xinran Li, Chuntung Zhuang et al.

FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges

Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.

Partial Correlation Network Estimation by Semismooth Newton Methods

DongWon Kim, Sungdong Lee, Joong-Ho (Johann) Won

Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions

Philip Boeken, Onno Zoeter, Joris Mooij

MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series

Payal Mohapatra, Yueyuan Sui, Akash Pandey et al.

Do Language Models Use Their Depth Efficiently?

Róbert Csordás, Christopher D Manning, Chris Potts

Advancing Interpretability of CLIP Representations with Concept Surrogate Model

Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing et al.

SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation

Zhenjie Mao, Yang Yuhuan, Chaofan Ma et al.

Stochastically Dominant Peer Prediction

Yichi Zhang, Shengwei Xu, Grant Schoenebeck et al.

Continuous Domain Generalization

Zekun CAI, Yiheng YAO, Guangji Bai et al.

QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification

Qian Tang, Yuwen Gu, Boxiang Wang

CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding

hongyong han, Wei Wang, Gaowei Zhang et al.

Generalized Linear Mode Connectivity for Transformers

Alexander Theus, Alessandro Cabodi, Sotiris Anagnostidis et al.

CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs

Bowen Gao, Yanwen Huang, Yiqiao Liu et al.

AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation

Wenyu Zhu, Jianhui Wang, Bowen Gao et al.

Self-Supervised Learning of Graph Representations for Network Intrusion Detection

Lorenzo Guerra, Thomas Chapuis, Guillaume Duc et al.

BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem

Seunghee Ryu, Donghoon Kwon, Seongjin Choi et al.

Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology

Luting Wang, Yinghao Xiang, Hongliang Huang et al.

Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions

Shubo Li, Yizhe Ding, Lingzhou Xue 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.

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.

OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement

Ye Tian, Angela McCarthy, Gabriel Gomide et al.

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning

Ankan Deria, Adinath Dukre, feilong tang et al.

BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity

Lucine L Oganesian, Saba Hashemi, Maryam Shanechi

RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning

Kaiwen Zha, Zhengqi Gao, Maohao Shen et al.

Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency

Renzhao Liang, Sizhe Xu, Chenggang Xie et al.

FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

Christodoulos Constantinides, Dhaval Patel, Shuxin Lin et al.

PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications

Zilin Shen, Xinyu Luo, Imtiaz Karim et al.

Zero-Shot Blind-Spot Image Denoising via Cross-Scale Non-Local Pixel Refilling

Qilong Guo, Tianjing Zhang, Zhiyuan Ma et al.

Geometry of Decision Making in Language Models

Abhinav Joshi, Divyanshu Bhatt, Ashutosh Modi

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

Yanyu Ren, Li Chen, Dan Li et al.

Ridge Boosting is Both Robust and Efficient

David Bruns-Smith, Zhongming Xie, Avi Feller

SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG

Xiaonan Si, Meilin Zhu, Simeng Qin et al.

Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling

Eray Erturk, Saba Hashemi, Maryam Shanechi

Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation

Zhenyu Wang, Peter Bühlmann, Zijian Guo

Asymmetric Dual-Lens Video Deblurring

Zeyu Xiao, Xinchao Wang

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

Hossein Jafarinia, Danial Hamdi, Amirhossein Alamdar et al.

Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules

Binghui Li, Fengling Chen, Zixun Huang et al.

DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks

Canyu Zhao, Yanlong Sun, Mingyu Liu et al.

Tree of Preferences for Diversified Recommendation

Hanyang Yuan, Ning Tang, Tongya Zheng et al.

DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering

Jiakai Li, Rongzheng Wang, Yizhuo Ma et al.

Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy

Sreevardhan Sirigiri, Christian Hughes, Ian Abraham et al.

Unified Algorithms for RL with Decision-Estimation Coefficients: PAC, Reward-Free, Preference-Based Learning, and Beyond

Fan Chen, Song Mei, Yu Bai

AION-1: Omnimodal Foundation Model for Astronomical Sciences

Liam Parker, Francois Lanusse, Jeff Shen et al.

Predictive Preference Learning from Human Interventions

Haoyuan Cai, Zhenghao (Mark) Peng, Bolei Zhou

Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization

Antonio Ribeiro, David Vävinggren, Dave Zachariah et al.

A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning

Daniel Tschernutter, David Diego Castro, Maciej Kasiński