Most Cited NEURIPS "stability gap" Papers

LTD-Bench: Evaluating Large Language Models by Letting Them Draw

Liuhao Lin, Ke Li, Zihan Xu et al.

$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization

Rahul Vaze, Abhishek Sinha

Is This Tracker On? A Benchmark Protocol for Dynamic Tracking

Ilona Demler, Saumya Chauhan, Georgia Gkioxari

Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference

Álvaro Parafita, Tomas Garriga, Axel Brando et al.

Beyond Benign Overfitting in Nadaraya-Watson Interpolators

Daniel Barzilai, Guy Kornowski, Ohad Shamir

DiffBreak: Is Diffusion-Based Purification Robust?

Andre Kassis, Urs Hengartner, Yaoliang Yu

Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT

Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron et al.

Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning

Haozhe Shan, Sun Minni, Lea Duncker

FORLA: Federated Object-centric Representation Learning with Slot Attention

Guiqiu Liao, Matjaz Jogan, Eric Eaton et al.

Exploring Landscapes for Better Minima along Valleys

Tong Zhao, Jiacheng Li, Yuanchang Zhou et al.

Risk Bounds For Distributional Regression

Carlos Misael Madrid Padilla, OSCAR HERNAN MADRID PADILLA, Sabyasachi Chatterjee

Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)

Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski et al.

Conditional Distribution Compression via the Kernel Conditional Mean Embedding

Dominic Broadbent, Nick Whiteley, Robert Allison et al.

LLM Interpretability with Identifiable Temporal-Instantaneous Representation

Xiangchen Song, Jiaqi Sun, Zijian Li et al.

DreamLight: Towards Harmonious and Consistent Image Relighting

Yong Liu, Wenpeng Xiao, Qianqian Wang et al.

Attention on the Sphere

Boris Bonev, Max Rietmann, Andrea Paris et al.

Transformers are almost optimal metalearners for linear classification

Roey Magen, Gal Vardi

Regularized least squares learning with heavy-tailed noise is minimax optimal

Mattes Mollenhauer, Nicole Muecke, Dimitri Meunier et al.

Flow Matching Neural Processes

Hussen Abu Hamad, Dan Rosenbaum

Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation

Changguang WU, Jiangxin Dong, Chengjian Li et al.

Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability

Divya Jyoti Bajpai, Manjesh Kumar Hanawal

An Investigation of Memorization Risk in Healthcare Foundation Models

Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour et al.

Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning

Torben Berndt, Benjamin Walker, Tiexin Qin et al.

GeoClip: Geometry-Aware Clipping for Differentially Private SGD

Atefeh Gilani, Naima Tasnim, Lalitha Sankar et al.

OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states

Yuki Minai, Joana Soldado-Magraner, Byron M Yu et al.

Generative Caching for Structurally Similar Prompts and Responses

Sarthak Chakraborty, Suman Nath, Xuchao Zhang et al.

Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization

Shaohan Li, Yunpeng Shi, Gilad Lerman

Distance-informed Neural Processes

Aishwarya Venkataramanan, Joachim Denzler

Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data

Andrew Li, Toryn Klassen, Andrew Wang et al.

Adaptive Discretization for Consistency Models

Jiayu Bai, Zhanbo Feng, Zhijie Deng et al.

Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres

Samuel Howard, Peter Potaptchik, George Deligiannidis

FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model

Jinwei Hu, Zhenglin Huang, Xiangyu Yin et al.

FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction

Ruizhe Zheng, Lingyan Mao, DINGDING HAN et al.

Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations

Faisal Hamman, Pasan Dissanayake, Yanjun Fu et al.

GoalLadder: Incremental Goal Discovery with Vision-Language Models

Alexey Zakharov, Shimon Whiteson

StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models

Haoxin Yang, Bangzhen Liu, Xuemiao Xu et al.

Quantization-Free Autoregressive Action Transformer

Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach et al.

HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs

Ningning Chen, Weicai Ye, Ying Jiang

Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound

Shinsaku Sakaue, Taira Tsuchiya, Han Bao et al.

A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding

Alexander Goldberg, Giulia Fanti, Nihar Shah

Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection

Cong Zeng, Shengkun Tang, Yuanzhou Chen et al.

X-Field: A Physically Informed Representation for 3D X-ray Reconstruction

Feiran Wang, Jiachen Tao, Junyi Wu et al.

Stochastic Forward-Forward Learning through Representational Dimensionality Compression

Zhichao Zhu, YANG QI, Hengyuan Ma et al.

Distances for Markov chains from sample streams

Sergio Calo, Anders Jonsson, Gergely Neu et al.

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers

Daniel Dsouza, Julia Kreutzer, Adrien Morisot et al.

Scalable and adaptive prediction bands with kernel sum-of-squares

Louis Allain, Sébastien Da Veiga, Brian Staber

PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis

Qing Mao, Tianxin Huang, Yu Zhu et al.

DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform

Peizhi Niu, Yu-Hsiang Wang, Vishal Rana et al.

Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses

Yuzhou Cao, Han Bao, Lei Feng et al.

Exploring the Design Space of Diffusion Bridge Models

Shaorong Zhang, Yuanbin Cheng, Greg Ver Steeg

HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery

Vaibhav Rathore, Divyam Gupta, Biplab Banerjee

Infinite Neural Operators: Gaussian processes on functions

Daniel Augusto de Souza, Yuchen Zhu, Jake Cunningham et al.

ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis

Chuang Wang, Haitao Zhou, Ling Luo et al.

Epistemic Uncertainty for Generated Image Detection

Jun Nie, Yonggang Zhang, Tongliang Liu et al.

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies

Runze Yan, Xun Shen, Akifumi Wachi et al.

Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training

Efficient RAW Image Deblurring with Adaptive Frequency Modulation

Wenlong Jiao, Binglong Li, Wei Shang et al.

Characterizing control between interacting subsystems with deep Jacobian estimation

Adam J. Eisen, Mitchell Ostrow, Sarthak Chandra et al.

APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction

Sasan Sharifipour, Constantino Álvarez Casado, Mohammad Sabokrou et al.

Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization

Bowei He, Lihao Yin, Hui-Ling Zhen et al.

Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability

Hoang Son Nguyen, Xiao Fu

MokA: Multimodal Low-Rank Adaptation for MLLMs

Yake Wei, Yu Miao, Dongzhan Zhou et al.

EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment

Naga Sai Abhiram Kusumba, Maitreya Patel, Kyle Min et al.

VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set

Shufan Shen, Junshu Sun, Qingming Huang et al.

Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few

Qishuai Wen, Zhiyuan Huang, Chun-Guang Li

3D Visual Illusion Depth Estimation

Chengtang Yao, Zhidan Liu, Jiaxi Zeng et al.

Boosting Adversarial Transferability with Spatial Adversarial Alignment

Zhaoyu Chen, HaiJing Guo, Kaixun Jiang et al.

Spiking Neural Networks Need High-Frequency Information

Yuetong Fang, Deming Zhou, Ziqing Wang et al.

CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching

Chen Chen, Pengsheng Guo, Liangchen Song et al.

Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving

Yi Huang, Zhan Qu, Lihui Jiang et al.

Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach

Chenbei Lu, Zaiwei Chen, Tongxin Li et al.

Simple Distillation for One-Step Diffusion Models

Huaisheng Zhu, Teng Xiao, Shijie Zhou et al.

ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models

Weifei Jin, Yuxin Cao, Junjie Su et al.

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens

Yiming Zhong, Yumeng Liu, Chuyang Xiao et al.

RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability

Jonggwon Park, Byungmu Yoon, Soobum Kim et al.

LiveStar: Live Streaming Assistant for Real-World Online Video Understanding

Zhenyu Yang, Kairui Zhang, Yuhang Hu et al.

Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack

Yukun Chen, Boheng Li, Yu Yuan et al.

Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation

Dongnan Gui, Xun Guo, Wengang Zhou et al.

Protein Inverse Folding From Structure Feedback

Junde Xu, Zijun Gao, Xinyi Zhou et al.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation

Xiaomeng Yang, LEI LU, Qihui Fan et al.

CALM: Culturally Self-Aware Language Models

Lingzhi Shen, Xiaohao Cai, Yunfei Long et al.

Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation

Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava et al.

Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing

Jinhua Yin, Peiru Yang, Chen Yang et al.

Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives

Sarah Cen, Salil Goyal, Zaynah Javed et al.

Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing

Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via et al.

Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction

Jiahao Ma, Lei Wang, Miaomiao Liu et al.

LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding

Shen Zhang, Siyuan Liang, Yaning Tan et al.

Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder

Qi Xin, Robert E Kass

Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games

Andreas Kontogiannis, Vasilis Pollatos, Gabriele Farina et al.

Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon

Tongtong Liang, Dan Qiao, Yu-Xiang Wang et al.

Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective

Wangkai Li, Rui Sun, Zhaoyang Li et al.

No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization

Wenhang Shi, Yiren Chen, Shuqing Bian et al.

DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing

Zixiang Li, Haoyu Wang, Wei Wang et al.

MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning

Han Wu, Jie Yin

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing

Haoguang Lu, Jiacheng Chen, Zhenguo Yang et al.

When majority rules, minority loses: bias amplification of gradient descent

François Bachoc, Jerome Bolte, Ryan Boustany et al.

MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting

Yumeng He, Yunbo Wang

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data

Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar et al.

Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models

Aloni Cohen

Unlabeled Data Can Provably Enhance In-Context Learning of Transformers

Renpu Liu, Jing Yang

Robust learning of halfspaces under log-concave marginals

Jane Lange, Arsen Vasilyan

Wasserstein Convergence of Critically Damped Langevin Diffusions

Stanislas Strasman, Sobihan Surendran, Claire Boyer et al.

Towards Reliable Identification of Diffusion-based Image Manipulations

Alex Costanzino, Woody Bayliss, Juil Sock et al.

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks

Guobin Shen, Dongcheng Zhao, Yiting Dong et al.

Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift

Yi Zhang, Elynn Chen, Yujun Yan

DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration

Hebaixu Wang, Jing Zhang, Haonan Guo et al.

PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization

Yiming Huang, Yajie Hao, Yuxuan Du et al.

Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting

Chenchen Tan, Youyang Qu, Xinghao Li et al.

Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging

Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit et al.

Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation

Weibin Liao, Tianlong Wang, Yinghao Zhu et al.

Variational Learning Finds Flatter Solutions at the Edge of Stability

Avrajit Ghosh, Bai Cong, Rio Yokota et al.

On the rankability of visual embeddings

Ankit Sonthalia, Arnas Uselis, Seong Joon Oh

Safety Depth in Large Language Models: A Markov Chain Perspective

Ching-Chia Kao, Chia-Mu Yu, Chun-Shien Lu et al.

QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation

Yang Zhang, Rui Zhang, Jiaming Guo et al.

Learning Juntas under Markov Random Fields

Gautam Chandrasekaran, Adam Klivans

VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models

Zhicheng Zhang, Weicheng Wang, Yongjie Zhu et al.

Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number

Jingyuan Zhou, Hao Qian, Shikui Tu et al.

ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization

Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip et al.

On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks

Mingze Wang, Weinan E

Universally Invariant Learning in Equivariant GNNs

Jiacheng Cen, Anyi Li, Ning Lin et al.

Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls

Yihong Luo, Shuchen Xue, Tianyang Hu et al.

MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild

Deming Li, Kaiwen Jiang, Yutao Tang et al.

CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors

Mingyuan Li, Tong Jia, Hao Wang et al.

DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method

Qingwen Zhang, Xiaomeng Zhu, Yushan Zhang et al.

A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis

Dongheng Lin, Mengxue Qu, Kunyang Han et al.

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback

Boyuan Chen, Donghai Hong, Jiaming Ji et al.

Asymptotically exact variational flows via involutive MCMC kernels

Zuheng (David) Xu, Trevor Campbell

See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model

Pengteng Li, Pinhao Song, Wuyang Li et al.

SpEx: A Spectral Approach to Explainable Clustering

Tal Argov, Tal Wagner

Non-Stationary Lipschitz Bandits

Nicolas Nguyen, Solenne Gaucher, Claire Vernade

MMPB: It’s Time for Multi-Modal Personalization

Jaeik Kim, Woojin Kim, Woohyeon Park et al.

Flattening Hierarchies with Policy Bootstrapping

John Zhou, Jonathan Kao

MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization

Chenglong Wang, Yang Gan, Hang Zhou et al.

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

John Vastola, Samuel J Gershman, Kanaka Rajan

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

Xinghan Li, Haodong Wen, Kaifeng Lyu

Active Test-time Vision-Language Navigation

Heeju Ko, Sung June Kim, Gyeongrok Oh et al.

UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge

Chenao Li, Shuo Yan, Enyan Dai

Sinusoidal Initialization, Time for a New Start

Alberto Fernandez-Hernandez, Jose Mestre, Manuel F. Dolz et al.

Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems

Deliang Wei, Peng Chen, Haobo Xu et al.

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation

Jiyu Guo, Shuo Yang, Yiming Huang et al.

MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions

Pucheng Dang, Di Huang, Dong Li et al.

TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles

Yaoyao Xu, Di Wang, Zihan Zhou et al.

Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks

Huanming Shen, Baizhou Huang, Xiaojun Wan

MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents

Ziming Wei, Bingqian Lin, Zijian Jiao et al.

GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI

Shiqian Li, Zhi Li, Zhancun Mu et al.

SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound

Yunke Ao, Masoud Moghani, Mayank Mittal et al.

SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis

Luojie Huang, Ryan Zhang, Marisa Morakis et al.

A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization

Hongxu Chen, Ke Wei, Haishan Ye et al.

HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning

Guancheng Wan, Xiaoran Shang, Yuxin Wu et al.

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

Zailong Tian, Zhuoheng Han, Houfeng Wang et al.

Feature-aware Modulation for Learning from Temporal Tabular Data

Haorun Cai, Han-Jia Ye

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

Optimization Inspired Few-Shot Adaptation for Large Language Models

Boyan Gao, Xin Wang, Yibo Yang et al.

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context

Vinam Arora, Divyansha Lachi, Ian Knight et al.

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

Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.

Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment

Youjia Zhang, Youngeun Kim, Young-Geun Choi et al.

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

Philip Boeken, Onno Zoeter, Joris Mooij

Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits

Weixin Chen, Han Zhao

Linearization Explains Fine-Tuning in Large Language Models

Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.

Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games

Soumita Hait, Ping Li, Haipeng Luo et al.

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

Zhenjie Mao, Yang Yuhuan, Chaofan Ma et al.

Online Multi-Class Selection with Group Fairness Guarantee

Faraz Zargari, Hossein Jazi, Lyndon Hallett et al.

Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting

Jiawei Zhang, Youmin Zhang, Fabio Tosi et al.

Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows

Leslie Hwang

Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models

Junhao Dong, Cong Zhang, Xinghua Qu et al.

Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise

Haocheng Luo, Mehrtash Harandi, Dinh Phung 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.

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

Linlian Jiang, Rui Ma, Li Gu 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.

Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization

Khanh-Hung (Bruce) Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen

WolBanking77: Wolof Banking Speech Intent Classification Dataset

Abdou Karim KANDJI, Frederic Precioso, Cheikh BA et al.

STACI: Spatio-Temporal Aleatoric Conformal Inference

Brandon Feng, David Park, Xihaier Luo et al.

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

Renzhao Liang, Sizhe Xu, Chenggang Xie et al.

Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding

Qian Ma, Ruoxiang Xu, Yongqiang Cai

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

Zilin Shen, Xinyu Luo, Imtiaz Karim et al.

VIKING: Deep variational inference with stochastic projections

Samuel Matthiesen, Hrittik Roy, Nicholas Krämer et al.

Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding

Ryo Umagami, Liu Yue, Xuangeng Chu et al.

Embeddings as Probabilistic Equivalence in Logic Programs

Jaron Maene, Efthymia Tsamoura

Ridge Boosting is Both Robust and Efficient

David Bruns-Smith, Zhongming Xie, Avi Feller

Learning Gradient Boosted Decision Trees with Algorithmic Recourse

Kentaro Kanamori, Ken Kobayashi, Takuya Takagi

A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers

Zhixiao Wu, Yao Lu, Jie Wen et al.

Causal Mixture Models: Characterization and Discovery

Sarah Mameche, Janis Kalofolias, Jilles Vreeken

DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation

Jingyi Tian, Le Wang, Sanping Zhou et al.

Evolutionary Prediction Games

Eden Saig, Nir Rosenfeld

MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning

Guancheng Wan, Fengyuan Ran, Ruikang Zhang et al.

Provable Watermarking for Data Poisoning Attacks

Yifan Zhu, Lijia Yu, Xiao-Shan Gao

Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery

Jiyeon Kang, Songseong Kim, Chanhui Lee 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.

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning

Yixiu Mao, Yun Qu, Qi Wang et al.

Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation

Zehui Li, Vallijah Subasri, Yifei Shen et al.

Predictive Preference Learning from Human Interventions

Haoyuan Cai, Zhenghao (Mark) Peng, Bolei Zhou

Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game

Rong Ye, Yongxin Zhang, yikai zhang et al.

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

Daniel Tschernutter, David Diego Castro, Maciej Kasiński