Most Cited NEURIPS "instrumental variable learning" Papers

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.

Is Limited Participant Diversity Impeding EEG-based Machine Learning?

Philipp Bomatter, Henry Gouk

Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video

Aditi Tiwari, Farzaneh Masoud, Dac Nguyen et al.

Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation

Feichen Gan, Lu Youcun, Yingying Zhang et al.

Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning

Sid Bharthulwar, Stone Tao, Hao Su

Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions

Zeyu Wang, Yidan Song, Shihao Qin et al.

SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval

Jiahang Zhang, Lilang Lin, Shuai Yang et al.

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation

Tien Nguyen, Dac Nguyen, Duc Nguyen The Minh et al.

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

Jie Zhao, Kang Cheong

Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs

Mohammad Shahab Sepehri, Berk Tinaz, Zalan Fabian et al.

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

Xuelin Shen, Quan Liu, Jiayin Xu et al.

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

Da Ma, Gonghu Shang, Zhi Chen et al.

CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems

Zhihao Wang, Lei Ma, George Hurtt et al.

Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives

Geng Zhang, Jiangrong Shen, Kaizhong Zheng et al.

Ridge Boosting is Both Robust and Efficient

David Bruns-Smith, Zhongming Xie, Avi Feller

Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior

Ruoyu Feng, Yunpeng Qi, Jinming Liu et al.

Training Robust Graph Neural Networks by Modeling Noise Dependencies

Yeonjun In, Kanghoon Yoon, Sukwon Yun et al.

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

Sikai Bai, Haoxi Li, Jie ZHANG et al.

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

Ethan Hsu, Tony Cao, Lesia Semenova et al.

Entropy-Calibrated Label Distribution Learning

Yunan Lu, Bowen Xue, Xiuyi Jia et al.

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

Yifei Zhang, Hao Zhu, Junhao Dong et al.

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

Xin Gao, Jiyao Liu, Guanghao Li 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.

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

Yi Xiao, Qiangqiang Yuan, Kui Jiang et al.

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

Yinhan He, Wendy Zheng, Yaochen Zhu et al.

Stochastically Dominant Peer Prediction

Yichi Zhang, Shengwei Xu, Grant Schoenebeck et al.

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

Bo Du, Xuekang Zhu, Xiaochen Ma et al.

Distributional Training Data Attribution: What do Influence Functions Sample?

Bruno Mlodozeniec, Isaac Reid, Sam Power et al.

Better Estimation of the Kullback--Leibler Divergence Between Language Models

Afra Amini, Tim Vieira, Ryan Cotterell

SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation

Chenyang Le, Bing Han, Jinshun Li et al.

Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning

Zihao Jing, Yan Sun, Yan Yi Li et al.

Active Seriation: Efficient Ordering Recovery with Statistical Guarantees

James Cheshire, Yann Issartel

Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity

Yuhan Zhang, Long Zhuo, Ziyang Chu et al.

Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs

Guoliang He, Youhe Jiang, Wencong Xiao et al.

MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations

Vardhan Dongre, Chi Gui, Shubham Garg et al.

DIFFSSR: Stereo Image Super-resolution Using Differential Transformer

Dafeng Zhang

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

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

VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers

Qinkai XU, yijin liu, YangChen et al.

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

Abhijnan Nath, Nikhil Krishnaswamy

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

Aobo Li, Jinjian Wu, Yongxu Liu et al.

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

Wei Shen, Weiqi Liu, Mingde Chen et al.

Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding

Xiangyu Wen, Min Li, Junhua Huang et al.

RGB-to-Polarization Estimation: A New Task and Benchmark Study

Beibei Lin, Zifeng Yuan, Tingting Chen

Learnable Sampler Distillation for Discrete Diffusion Models

Feiyang Fu, Tongxian Guo, Zhaoqiang Liu

CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design

Ziyi Yang, Hanyuan Xie, Yinjun Jia et al.

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation

Yangshi Ge, Yiwei Bao, Feng Lu

Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning

Shikuang Deng, Jiayuan Zhang, Yuhang Wu et al.

Precise Asymptotics and Refined Regret of Variance-Aware UCB

Yingying Fan, Yuxuan Han, Jinchi Lv et al.

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands

Vasiliki Tassopoulou, Charis Stamouli, Haochang Shou et al.

Fairness-Regularized Online Optimization with Switching Costs

Pengfei Li, Yuelin Han, Adam Wierman et al.

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

Fujun Han, Peng Ye

Benchmarking Large Language Models with Integer Sequence Generation Tasks

Daniel O'Malley, Manish Bhattarai, Nishath Ranasinghe et al.

Value Gradient Guidance for Flow Matching Alignment

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

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

Xingyu Chen, Shihao Ma, Runsheng Lin et al.

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

Yuandong Tian

DQVis Dataset: Natural Language to Biomedical Visualization

Devin Lange, Pengwei Sui, Shanghua Gao et al.

ComRank: Ranking Loss for Multi-Label Complementary Label Learning

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

Non-Uniform Multiclass Learning with Bandit Feedback

Steve Hanneke, Amirreza Shaeiri, Hongao Wang

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

Noam Razin, Zixuan Wang, Hubert Strauss et al.

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

Wentao Wu, Shiyuan He, Jianhua Guo

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

Xia Jiang, Yaoxin Wu, Minshuo Li et al.

Transferring Causal Effects using Proxies

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

Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing

Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel et al.

QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks

Qian Chen, Linxin Yang, Akang Wang et al.

NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses

Jing Wen, Alex Schwing, Shenlong Wang

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization

Yuante Li, Xu Yang, Xiao Yang et al.

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

Fabian Gröger, Shuo Wen, Huyen Le et al.

GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion

Jiayi Tian, Haiduo Huang, Tian Xia et al.

Elastic Robust Unlearning of Specific Knowledge in Large Language Models

Yize Sui, Jing Ren, Wenjing Yang et al.

Simulation-Based Inference for Adaptive Experiments

Brian Cho, Aurelien Bibaut, Nathan Kallus

mmWalk: Towards Multi-modal Multi-view Walking Assistance

Kedi Ying, Ruiping Liu, Chongyan Chen et al.

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

Claudio Fanconi, Mihaela van der Schaar

A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models

Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany et al.

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

Yan Zhang, Yang Gao, Min Li

Merlin L48 Spectrogram Dataset

Aaron Sun, Subhransu Maji, Grant Van Horn

OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions

Cheng Luo, Jianghui Wang, Bing Li et al.

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability

Tonglong Wei, Yan Lin, Zeyu Zhou et al.

Resolution of Simpson's paradox via the common cause principle

Arshak Hovhannisyan, Armen Allahverdyan

Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems

Gordon Dai, Yunze Xiao

MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations

The Viet Bui, Tien Mai, Thanh Nguyen

Setting $\varepsilon$ is not the Issue in Differential Privacy

Edwige Cyffers

Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL

Ruitao Wu, Yifan Zhao, Guangyao Chen et al.

Functional data analysis for multivariate distributions through Wasserstein slicing

Han Chen, Hans-Georg Müller

PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA

Lanlan Ji, Dominic Seyler, Gunkirat Kaur et al.

DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer

Haiduo Huang, Jiangcheng Song, Yadong Zhang et al.

Selective Omniprediction and Fair Abstention

Sílvia Casacuberta, Varun Kanade

Struct-Bench: A Benchmark for Differentially Private Structured Text Generation

Shuaiqi Wang, Vikas Raunak, Arturs Backurs et al.

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

Eun Chang, Zhuangqun Huang, Yiwei Liao et al.

Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation

Yuyang Li, Wenxin Du, Chang Yu et al.

Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning

Zailong Tian, Zhuoheng Han, Houfeng Wang et al.

Asymptotically exact variational flows via involutive MCMC kernels

Zuheng (David) Xu, Trevor Campbell

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

Zhe Zhao, HaiBin Wen, Xianfu Liu et al.

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization

Natalie Maus, Kyurae Kim, Yimeng Zeng et al.

CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing

Xinran Qin, Zhixin Wang, Fan Li et al.

Meta-World+: An Improved, Standardized, RL Benchmark

Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon et al.

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee et al.

Self-Improving Embodied Foundation Models

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

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries

Steven Kolawole, Keshav Santhanam, Virginia Smith et al.

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

hanxue liang, Jiawei Ren, Ashkan Mirzaei et al.

On the SAC-BL Algorithm for Anomaly Detection

Xinsong Ma, Jie Wu, Weiwei Liu

L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery

Ziwei Shi, Xiaoran Zhang, Wenjing Xu et al.

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

Jan Sobotka, Luca Baroni, Ján Antolík

STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals

Vaclav Voracek, Francesco Orabona

D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction

Kejing Xia, Jidong Jia, Ke Jin et al.

Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables

Zheng Li, Xichen Guo, Feng Xie et al.

Toward Interpretable Evaluation Measures for Time Series Segmentation

Félix Chavelli, Paul Boniol, Michaël Thomazo

Prohibiting Generative AI in any Form of Weapon Control

Mary Cummings

Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications

Riley Simmons-Edler, Jean Dong, Paul Lushenko et al.

Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules

John Vastola, Samuel J Gershman, Kanaka Rajan

ShapeEmbed: a self-supervised learning framework for 2D contour quantification

Anna Foix-Romero, Craig Russell, Alexander Krull et al.

Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold

Xinghan Li, Haodong Wen, Kaifeng Lyu

Agnostic Active Learning Is Always Better Than Passive Learning

Steve Hanneke

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

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

Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration

Nicholas Vincent, Matt Prewitt, Hanlin Li

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation

Kunyu Wang, Xueyang Fu, Yuanfei Bao et al.

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Zixi Wang, Yushe Cao, Yubo Huang et al.

Graph Alignment via Birkhoff Relaxation

Sushil Varma, Irène Waldspurger, Laurent Massoulié

Position: Biology is the Challenge Physics-Informed ML Needs to Evolve

Julien Martinelli

OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation

Dongjun Hwang, Yejin Kim, Minyoung Lee et al.

UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification

Xixi Wan, AIHUA ZHENG, Bo Jiang et al.

Tri-MARF: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation

jusheng zhang, Yijia Fan, Zimo Wen et al.

Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach

Changyeol Lee, Yongho Shin, Hyung-Chan An

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch et al.

Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"

Raad Khraishi, Cristovao Iglesias de Oliveira, Devesh Batra et al.

PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors

Yujin Chen, Yinyu Nie, Benjamin Ummenhofer et al.

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher

Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks

Huanming Shen, Baizhou Huang, Xiaojun Wan

IMPROVED LEARNING THEORY FOR KERNEL DISTRIBUTION REGRESSION WITH TWO-STAGE SAMPLING

Alberto González-Sanz, François Bachoc, Jean-Michel Loubes et al.

Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond

Kaixiang Chen, Pengfei Fang, hui xue

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization

Colin Doumont, Victor Picheny, Viacheslav (Slava) Borovitskiy et al.

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

Yige Li, Hanxun Huang, Yunhan Zhao et al.

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

What Expressivity Theory Misses: Message Passing Complexity for GNNs

Niklas Kemper, Tom Wollschläger, Stephan Günnemann

DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding

Yunhai Hu, Tianhua Xia, Zining Liu et al.

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms

Zhihai Wang, Zijie Geng, Zhaojie Tu et al.

UMoE: Unifying Attention and FFN with Shared Experts

Yuanhang Yang, Chaozheng Wang, Jing Li

Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion

Xi Zhang, Yanyi Li, Yisi Luo et al.

Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets

Shaocong Ma, Heng Huang

Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations

Chao Su, Likang Peng, Yuan Sun et al.

A Simple Linear Patch Revives Layer-Pruned Large Language Models

Xinrui Chen, Haoli Bai, Tao Yuan et al.

Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy

Leheng Cai, Qirui Hu, Juntao Sun et al.

Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations

Gaia Di Lorenzo, Federico Tombari, Marc Pollefeys et al.

RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation

Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais et al.

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks

Ann Huang, Satpreet Harcharan Singh, Flavio Martinelli et al.

Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning

Wei Duan, Jie Lu, Junyu Xuan

A Markov Decision Process for Variable Selection in Branch & Bound

Paul STRANG, Zacharie ALES, Côme Bissuel et al.

AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding

Chaeyoung Jung, Youngjoon Jang, Joon Son Chung

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search

Mengdi Liu, Xiaoxue Cheng, Zhangyang Gao et al.

Tree-Sliced Entropy Partial Transport

Viet-Hoang Tran, Thanh Tran, Thanh Chu et al.

GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data

Lubin Bai, Xiuyuan Zhang, Siqi Zhang et al.

Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning

Wenchang Duan, Yaoliang Yu, Jiwan He et al.

Training the Untrainable: Introducing Inductive Bias via Representational Alignment

Vighnesh Subramaniam, David Mayo, Colin Conwell et al.

Embedding Principle of Homogeneous Neural Network for Classification Problem

Jiahan Zhang, Yaoyu Zhang, Tao Luo

DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization

Jiyan Qiu, Lyulin Kuang, Guan Wang et al.

ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos

Shi Chen, Erik Sandström, Sandro Lombardi et al.

Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy

David Dang, Myoung-Gyun Suh, Maodong Gao et al.

Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement

Yunan Lu, Xixi Zhang, Yaojin Lin et al.

Neural Fractional Attention Differential Equations

Qiyu Kang, Wenjun Cui, Xuhao Li et al.

Online Learning in the Repeated Mediated Newsvendor Problem

Nataša Bolić, Tom Cesari, Roberto Colomboni et al.

Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations

Yujie Zhu, Charles Hepburn, Matthew Thorpe et al.

UniViT: Unifying Image and Video Understanding in One Vision Encoder

feilong tang, xiangan, Haolin Yang et al.

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities

Kevin Wang, Ishaan Javali, Michał Bortkiewicz et al.

Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling

Chenghao Xu, guangtao lyu, Jiexi Yan et al.

Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection

Xiaotian Qiao, Ke Xu, Xianglong Yang et al.

VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models

Xinan He, Yue Zhou, Bing Fan et al.

Knot So Simple: A Minimalistic Environment for Spatial Reasoning

Zizhao Chen, Yoav Artzi

Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints

Yan Dai, Negin Golrezaei, Patrick Jaillet

Agnostic Continuous-Time Online Learning

Pramith Devulapalli, Changlong Wu, Ananth Grama et al.

Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions

Razaib Tariq, Minji Heo, Shahroz Tariq et al.

Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation

Chaeyun Jang, Deukhwan Cho, Seanie Lee et al.

Dyn-O: Building Structured World Models with Object-Centric Representations

Zizhao Wang, Kaixin Wang, Li Zhao et al.

SuperCLIP: CLIP with Simple Classification Supervision

Weiheng Zhao, Zilong Huang, Jiashi Feng et al.

Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion

Xiaojian Ding, Lin Zhao, Xian Li et al.

Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL

Songjun Tu, Jiahao Lin, Qichao Zhang et al.

Eliciting Reasoning in Language Models with Cognitive Tools

Brown Wilfried Ebouky Doualla Dina, Andrea Bartezzaghi, Mattia Rigotti

On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness

Arnav Mehra, Alexandros Psomas

Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG

Shihao Yang, Feng Liu

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL

Tong Yang, Bo Dai, Lin Xiao et al.

Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval

Haifan Gong, Xuanye Zhang, Ruifei Zhang et al.

Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios

David A. R. Robin, Killian Bakong, Kevin Scaman

Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions

Jihoon Kwon, Kyle Min, Jy-yong Sohn

Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning

Wenyi Xiao, Leilei Gan

Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs

Fangrui Zhu, Hanhui Wang, Yiming Xie et al.

Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design

Nianzu Yang, Songlin Jiang, Jian Ma et al.

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

Tim van Erven, Jack Mayo, Julia Olkhovskaya et al.

Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models

Jiajun Fan, Tong Wei, Chaoran Cheng et al.

Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes

WEI-KAI CHANG, Rajiv Khanna

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

Jiaheng Zhou, Wei Fang, Luyuan Xie et al.

Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents

Qianlan Yang, XJ Wang, Danielle Perszyk et al.

Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations

David Burt, Renato Berlinghieri, Stephen Bates et al.

Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap

Shixiang Liu

TopER: Topological Embeddings in Graph Representation Learning

Astrit Tola, Funmilola Mary Taiwo, Cuneyt Akcora et al.

PointTruss: K-Truss for Point Cloud Registration

Yue Wu, Jun Jiang, Yongzhe Yuan et al.

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

Yunlong Deng, Guangyi Chen, Tianpei Gu et al.

On the Role of Hidden States of Modern Hopfield Network in Transformer

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

Hao Zheng, Shiyu Liang, Yuting Zheng et al.

Efficient Rectified Flow for Image Fusion

Zirui Wang, Jiayi Zhang, Tianwei Guan et al.

ECO: Evolving Core Knowledge for Efficient Transfer

Fu Feng, Yucheng Xie, Ruixiao Shi et al.

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift

Tianyu Pan, Mengdi Zhu, Alexa Cole et al.