Most Cited 2025 "robust model distillation" Papers

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems

Joshua Holder, Natasha Jaques, Mehran Mesbahi

State Encodings for GNN-Based Lifted Planners

Rostislav Horčik, Gustav Šír, Vítězslav Šimek et al.

Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags

Kim van den Houten, Léon Planken, Esteban Freydell et al.

Multiple Mean-Payoff Optimization Under Local Stability Constraints

David Klaška, Antonín Kučera, Vojtěch Kůr et al.

ACPBench: Reasoning About Action, Change, and Planning

Harsha Kokel, Michael Katz, Kavitha Srinivas et al.

Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning

Alessandro La Farciola, Alessandro Valentini, Andrea Micheli

Told You That Will Not Work: Optimal Corrections to Planning Domains Using Counter-Example Plans

Songtuan Lin, Alban Grastien, Rahul Shome et al.

WEPO: Web Element Preference Optimization for LLM-based Web Navigation

Jiarun Liu, Jia Hao, Chunhong Zhang et al.

ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning

Xiaotian Liu, Jihwan Jeong, Ayal Taitler et al.

Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight

Shaohui Pan, Yong Xu, Ruotao Xu et al.

Counterfactual Online Learning for Open-Loop Monte-Carlo Planning

Thomy Phan, Shao-Hung Chan, Sven Koenig

Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential Search

Takumi Shimoda, Alex Fukunaga

Counting and Reasoning with Plans

David Speck, Markus Hecher, Daniel Gnad et al.

Inapproximability of Optimal Multi-Agent Pathfinding Problems

Xing Tan, Alban Grastien

Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation

Elisa Tosello, Alessandro Valentini, Andrea Micheli

Augmenting Online Algorithms for Knapsack Problem with Total Weight Information

Binghan Wu, Wei Bao, Bing Bing Zhou

Improved Approximation Algorithms for Clustered TSP and Subgroup Planning

Jingyang Zhao, Mingyu Xiao, Junqiang Peng et al.

A Matching-Based Algorithm for the Traveling Tournament Problem

Jingyang Zhao, Mingyu Xiao

Formal Quality Measures for Predictors in Markov Decision Processes

Christel Baier, Sascha Klüppelholz, Jakob Piribauer et al.

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments

Taehun Cha, Donghun Lee

Toward Falsifying Causal Graphs Using a Permutation-Based Test

Elias Eulig, Atalanti A. Mastakouri, Patrick Blöbaum et al.

Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding

Simon Ferreira, Charles K. Assaad

Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement

Wuliang Huang, Yiqiang Chen, Xinlong Jiang et al.

Mediation Analysis for Probabilities of Causation

Yuta Kawakami, Jin Tian

Flow Factorization for Efficient Generative Flow Networks

Jiashun Liu, Chunhui Li, Cheng-Hao Liu et al.

PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects

Hisayoshi Nanmo, Manabu Kuroki

Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations

Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

Resource Constrained Pathfinding with Enhanced Bidirectional A* Search

Saman Ahmadi, Andrea Raith, Guido Tack et al.

Scenario-Based Robust Optimization of Tree Structures

Spyros Angelopoulos, Christoph Dürr, Alex Elenter et al.

An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem

Baiyu Chen, Junwen Ding, Canhui Luo et al.

Fast and Slow Gradient Approximation for Binary Neural Network Optimization

Xinquan Chen, Junqi Gao, Biqing Qi et al.

Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition

Dogan Corus, Pietro S. Oliveto, Donya Yazdani

Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks

Arnaud Deza, Elias B. Khalil, Zhenan Fan et al.

Suboptimal Search with Dynamic Distribution of Suboptimality

Mohammadreza Hami, Nathan R. Sturtevant

Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs

Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung The Tran

Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels

Wenjing Hong

Faster Double Adaptive Gradient Methods

Feihu Huang, Yuning Luo

Searching for and Avoiding Hidden Sets Using Queries with Local Feedback

Tomasz Jurdzinski, Dariusz R. Kowalski

Anchor Search: A Unified Framework for Suboptimal Bidirectional Search

Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg et al.

Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game

Per Kristian Lehre, Shishen Lin

MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions

Yanjie Li, Weijun Li, Lina Yu et al.

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction

Yixuan Li, Can Chen, Jiajun Li et al.

Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations

Heng Rao, Yu Gu, Jason Zipeng Zhang et al.

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation

Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi

Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization

Ruihao Zheng, Zhenkun Wang

DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem

Shipei Zhou, Yuandong Ding, Chi Zhang et al.

ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets

Tomas Tokar, Scott Sanner

InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series

Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham et al.

CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics

David Valencia, Henry Williams, Yuning Xing et al.

CODE: Confident Ordinary Differential Editing

Bastien Van Delft, Tommaso Martorella, Alexandre Alahi

Expressive Power of Temporal Message Passing

Przemysław Andrzej Wałęga, Michael Rawson

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt

Benfeng Wang, Chao Huang, Jie Wen et al.

IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities

Bin Wang, Chunyu Xie, Dawei Leng et al.

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

Da Wang, Lin Li, Wei Wei et al.

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

Hao Wang, Biqin Song, Hao Deng et al.

IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork

Hui Wang, Renyu Yang, Jie Sun et al.

Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint

Juncheng Wang, Bingjie Yan, Yituo Liu

SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation

Meng-zhu Wang

JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration

Mingzi Wang, Yuan Meng, Chen Tang et al.

Pre-Trained Vision-Language Models as Noisy Partial Annotators

Qian-Wei Wang, Yuqiu Xie, Letian Zhang et al.

Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder

Qianqian Wang, Zihao Zhang, Wei Feng et al.

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes

Qingmei Wang, Yuxin Wu, Yujie Long et al.

Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality

Qitong Wang, Tang Li, Kien X. Nguyen et al.

FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement

Shanfeng Wang, Jianzhao Li, Zaitian Liu et al.

Text2Data: Low-Resource Data Generation with Textual Control

Shiyu Wang, Yihao Feng, Tian Lan et al.

Set-Valued Sensitivity Analysis of Deep Neural Networks

Xin Wang, Feilong Wang, Xuegang (Jeff) Ban

Quantum Best Arm Identification with Quantum Oracles

Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade et al.

Multi-label Self Knowledge Distillation

Xucong Wang, Pengkun Wang, Shurui Zhang et al.

Revisiting Projection-Free Online Learning with Time-Varying Constraints

Yibo Wang, Yuanyu Wan, Lijun Zhang

Dimension Reduction with Locally Adjusted Graphs

Yingfan Wang, Yiyang Sun, Haiyang Huang et al.

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks

Zhiqiang Wang, Jiayu Guo, Jianqing Liang et al.

Generalization of Graph Neural Networks Is Robust to Model Mismatch

Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro

TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering

Zhongwen Wang, Xingfeng Li, Yinghui Sun et al.

Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens

Zichen Wang, Feng Yan, Tianyi Wang et al.

Multi-Instance Multi-Label Classification from Crowdsourced Labels

Ziquan Wang, Mingxuan Xia, Xiangyu Ren et al.

FlexPose: Pose Distribution Adaptation with Limited Guidance

Zixiao Wang, Junwu Weng, Mengyuan Liu et al.

Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning

Kun Wei, Zhe Xu, Cheng Deng

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack

Qi Wei, Shuo He, Jiahan Zhang et al.

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks

Yongyan Wen, Siyuan Li, Rongchang Zuo et al.

Measuring Cross-Modal Interactions in Multimodal Models

Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski et al.

Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference

Bartosz Wójcik, Alessio Devoto, Karol Pustelnik et al.

Fully-Scalable Massively Parallel Algorithm for k-center with Outliers

Di Wu, Qilong Feng, Junyu Huang et al.

Revisiting Attention for Multivariate Time Series Forecasting

Haixiang Wu

Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning

Liang Wu, Ruixi Hu, Yunwen Lei

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs

Nannan Wu, Yazheng Zhao, Hongdou Dong et al.

Spiking Point Transformer for Point Cloud Classification

Peixi Wu, Bosong Chai, Hebei Li et al.

PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers

Siyuan Wu, Yongzhe Jia, Bowen Liu et al.

KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering

Tingting Wu, Zhendong Li, Zhibin Gu et al.

Non-Convex Tensor Recovery from Local Measurements

Tongle Wu, Ying Sun, Jicong Fan

Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting

Yuhan Wu, Xiyu Meng, Huajin Hu et al.

ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction

Zhixiao Wu, Yao Lu, Jie Wen et al.

Hierarchical Consensus Network for Multiview Feature Learning

Chengwei Xia, Chaoxi Niu, Kun Zhan

Clean-Label Graph Backdoor Attack in the Node Classification Task

Hui Xia, Xiangwei Zhao, Rui Zhang et al.

FIND: A Framework for Discovering Formulas in Data

Tingxiong Xiao, Yuxiao Cheng, Jinli Suo

Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework

Wei Xiao, Hongbin Wang, Ming He et al.

Multi-Subspace Matrix Recovery from Permuted Data

Liangqi Xie, Jicong Fan

One Node One Model: Featuring the Missing-Half for Graph Clustering

Xuanting Xie, Bingheng Li, Erlin Pan et al.

Flexible Sharpness-Aware Personalized Federated Learning

Xinda Xing, Qiugang Zhan, Xiurui Xie et al.

Pilot: Building the Federated Multimodal Instruction Tuning Framework

Baochen Xiong, Xiaoshan Yang, Yaguang Song et al.

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection

Haonan Xu, Yang Yang

Textualize Visual Prompt for Image Editing via Diffusion Bridge

Pengcheng Xu, Qingnan Fan, Fei Kou et al.

Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints

Qinfu Xu, Yiwei Wei, Chunlei Wu et al.

Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?

Yanchen Xu, Siqi Huang, Hongyuan Zhang et al.

Clustering by Mining Density Distributions and Splitting Manifold Structure

Zhichang Xu, Zhiguo Long, Hua Meng

Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits

Bo Xue, Xi Lin, Xiaoyuan Zhang et al.

Adaptive Market Making with Inventory Constraints via Online Learning

Shan Xue, Ye Du, Liang Xu

Tensorized Label Learning Based Fast Fuzzy Clustering

Xingyu Xue, Jingjing Xue, Quanxue Gao et al.

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis

Guochen Yan, Luyuan Xie, Xinyi Gao et al.

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

Yuguang Yan, Canlin Yang, Yuanlin Chen et al.

Structured IB: Improving Information Bottleneck with Structured Feature Learning

Hanzhe Yang, Youlong Wu, Dingzhu Wen et al.

Bridging Sequence-Structure Alignment in RNA Foundation Models

Heng Yang, Renzhi Chen, Ke Li

Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios

Huanhuan Yang, Dianxi Shi, Songchang Jin et al.

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset

Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.

CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination

Kaicheng Yang, Tiancheng Gu, Xiang An et al.

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology

Liang Yang, Zhenna Li, Jiaming Zhuo et al.

A Generalizable Anomaly Detection Method in Dynamic Graphs

Xiao Yang, Xuejiao Zhao, Zhiqi Shen

On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness

Junyi Chai, Taeuk Jang, Jing Gao et al.

Model Immunization from a Condition Number Perspective

Amber Yijia Zheng, Cedar Site Bai, Brian Bullins et al.

One-Pass Feature Evolvable Learning with Theoretical Guarantees

Cun-Yuan Xing, Meng-Zhang Qian, Wu-Yang Chen et al.

Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization

Xinyu Luo, Cedar Site Bai, Bolian Li et al.

ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces

Jinbin Zhang, Nasib Ullah, Erik Schultheis et al.

Online Learning in Risk Sensitive constrained MDP

Arnob Ghosh, Mehrdad Moharrami

AdaWorld: Learning Adaptable World Models with Latent Actions

Shenyuan Gao, Siyuan Zhou, Yilun Du et al.

Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach

Zhigaoyuan Wang, Ying Sun, Hengshu Zhu

Fine-Grained Captioning of Long Videos through Scene Graph Consolidation

Sanghyeok Chu, Seonguk Seo, Bohyung Han

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders

Jun-En Ding, Dongsheng Luo, Chenwei Wu et al.

Position: You Can't Manufacture a NeRF

Marta An Kimmel, Mueed Rehman, Yonatan Bisk et al.

Toward a Unified Theory of Gradient Descent under Generalized Smoothness

Alexander Tyurin

Otter: Generating Tests from Issues to Validate SWE Patches

Toufique Ahmed, Jatin Ganhotra, Rangeet Pan et al.

Reinforcement Learning with Random Time Horizons

Enric Borrell, Lorenz Richter, Christof Schuette

Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching

Amit Attia, Ofir Gaash, Tomer Koren

Gradient Aligned Regression via Pairwise Losses

Dixian Zhu, Tianbao Yang, Livnat Jerby

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting

Boyuan Li, Yicheng Luo, Zhen Liu et al.

Sample Efficient Demonstration Selection for In-Context Learning

Kiran Purohit, Venktesh V, Sourangshu Bhattacharya et al.

Neural Guided Diffusion Bridges

Gefan Yang, Frank van der Meulen, Stefan Sommer

Hierarchical Reinforcement Learning with Targeted Causal Interventions

Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash et al.

Online Robust Reinforcement Learning Through Monte-Carlo Planning

Tuan Dam, Kishan Panaganti, Brahim Driss et al.

Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search

Tuan Dam

Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training

Bhavna Gopal, Huanrui Yang, Jingyang Zhang et al.

Geometry Informed Tokenization of Molecules for Language Model Generation

Xiner Li, Limei Wang, Youzhi Luo et al.

Position: The Future of Bayesian Prediction Is Prior-Fitted

Samuel Gabriel Müller, Arik Reuter, Noah Hollmann et al.

Circumventing Backdoor Space via Weight Symmetry

Jie Peng, Hongwei Yang, Jing Zhao et al.

Computing Voting Rules with Improvement Feedback

Evi Micha, Vasilis Varsamis

Concept Reachability in Diffusion Models: Beyond Dataset Constraints

Marta Aparicio Rodriguez, Xenia Miscouridou, Anastasia Borovykh

Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph

Zhiqiang Wang, Jianghao Wen, Jianqing Liang

Spatial Reasoning with Denoising Models

Christopher Wewer, Bartlomiej Pogodzinski, Bernt Schiele et al.

Online Differentially Private Conformal Prediction for Uncertainty Quantification

Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning

Lang Pu, Jingjing Gu, Chao Lin et al.

Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models

Mehmet Yiğit Balık, Maksim Sinelnikov, Priscilla Ong et al.

Contrastive Visual Data Augmentation

Yu Zhou, Bingxuan Li, Mohan Tang et al.

From Logits to Hierarchies: Hierarchical Clustering made Simple

Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser et al.

FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence

Yichen Li, Yuying Wang, Haozhao Wang et al.

The Generalized Skew Spectrum of Graphs

Armando Bellante, Martin Plávala, Alessandro Luongo

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives

Elliot Meyerson, Xin Qiu

Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting

Sunny Sanyal, Hayden Prairie, Rudrajit Das et al.

Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression

Andong Wang, Yuning Qiu, Zhong Jin et al.

Reflection-Window Decoding: Text Generation with Selective Refinement

Zeyu Tang, Zhenhao Chen, Xiangchen Song et al.

Learning Vision and Language Concepts for Controllable Image Generation

Shaoan Xie, Lingjing Kong, Yujia Zheng et al.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers

GUOGUO AI, Guansong Pang, Hezhe Qiao et al.

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models

Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny et al.

Adaptive Exploration for Multi-Reward Multi-Policy Evaluation

Alessio Russo, Aldo Pacchiano

Inverse Optimization via Learning Feasible Regions

Ke Ren, Peyman Mohajerin Esfahani, Angelos Georghiou

GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code

Samidha Verma, Arushi Goyal, Ananya Mathur et al.

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points

Justin Lee, Behnaz Moradi-Jamei, Heman Shakeri

Preserving AUC Fairness in Learning with Noisy Protected Groups

Mingyang Wu, Li Lin, Wenbin Zhang et al.

Principled Algorithms for Optimizing Generalized Metrics in Binary Classification

Anqi Mao, Mehryar Mohri, Yutao Zhong

Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer

Anqi Mao, Mehryar Mohri, Yutao Zhong

Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data

Corinna Cortes, Anqi Mao, Mehryar Mohri et al.

FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation

Kei Sen Fong, Mehul Motani

System-Aware Unlearning Algorithms: Use Lesser, Forget Faster

Linda Lu, Ayush Sekhari, Karthik Sridharan

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

Hila Chefer, Uriel Singer, Amit Zohar et al.

Learning Extrapolative Sequence Transformations from Markov Chains

Sophia Hager, Aleem Khan, Andrew Wang et al.

SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation

Sathvik Chereddy, John Femiani

Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images

Zhengrui Guo, Qichen Sun, Jiabo MA et al.

Meta-Black-Box-Optimization through Offline Q-function Learning

Zeyuan Ma, Zhiguang Cao, Zhou Jiang et al.

From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers

Yoon Hyeok Lee, Jaemin Park, Taejin Paik et al.

Provably Efficient Exploration in Inverse Constrained Reinforcement Learning

Bo Yue, Jian Li, Guiliang Liu

Aligning LLMs by Predicting Preferences from User Writing Samples

Stéphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald et al.

Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures

Alina Ene, Alessandro Epasto, Vahab Mirrokni et al.

Determinant Estimation under Memory Constraints and Neural Scaling Laws

Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.

Field Matching: an Electrostatic Paradigm to Generate and Transfer Data

Alexander Kolesov, S. Manukhov, Vladimir Palyulin et al.

Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance

Moming Duan, Mingzhe Du, Rui Zhao et al.

Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques

Alon Arad, Saharon Rosset

Categorical Schrödinger Bridge Matching

Grigoriy Ksenofontov, Aleksandr Korotin

Inverse Bridge Matching Distillation

Nikita Gushchin, David Li, Daniil Selikhanovych et al.

Understanding the Emergence of Multimodal Representation Alignment

Megan Tjandrasuwita, Chanakya Ekbote, Liu Ziyin et al.

A Non-isotropic Time Series Diffusion Model with Moving Average Transitions

Chenxi Wang, Linxiao Yang, Zhixian Wang et al.

Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting

RISHI JINKA, Venkata Sai Mothish Gonugunta, Deepak N. Subramani

Adaptive Partitioning Schemes for Optimistic Optimization

Raja Sunkara, Ardhendu Tripathy

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

Lutfi Erdogan, Hiroki Furuta, Sehoon Kim et al.

VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data

Thomas Zeng, Shuibai Zhang, Shutong Wu et al.

GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning

Xiangheng Wang, Ziquan Fang, Chenglong Huang et al.

DataDecide: How to Predict Best Pretraining Data with Small Experiments

Ian Magnusson, Tai Nguyen, Ben Bogin et al.

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning

Run He, Di Fang, Yicheng Xu et al.

SAND: One-Shot Feature Selection with Additive Noise Distortion

Pedram Pad, Hadi Hammoud, Mohamad Dia et al.

Unpaired Point Cloud Completion via Unbalanced Optimal Transport

Taekyung Lee, Jaemoo Choi, Jaewoong Choi et al.

Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning

Edoardo Urettini, Antonio Carta

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models

Xin Zou, Yizhou WANG, Yibo Yan et al.

Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents

Karina Zainullina, Aleksandr Golubev, Maria Trofimova et al.