Most Cited 2025 "orientation-aligned 3d generation" Papers

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback

Yongqi Li, Xin Miao, Shen Zhou et al.

Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing

Zhuoran Li, Chunming Hu, Junfan Chen et al.

Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis

Qi Lian, Yu Qi, Yueming Wang

How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning

Di-Nan Lin, Yao Jui-Feng, Kun-Da Wu et al.

Explore What LLM Does Not Know in Complex Question Answering

Xin Lin, Zhenya Huang, Zhiqiang Zhang et al.

Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts

Jiaqing Liu, Chong Deng, Qinglin Zhang et al.

VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning

Sannyuya Liu, Jintian Feng, Xiaoxuan Shen et al.

Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?

Yang Liu, Xiaoping Wang, Kai Lu

PAT: Pruning-Aware Tuning for Large Language Models

Yijiang Liu, Huanrui Yang, Youxin Chen et al.

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition

Zesheng Liu, Qiannan Zhu, Cuiping Li et al.

DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval

Penghao Lu, Xin Dong, Yuansheng Zhou et al.

BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection

Xuan Luo, Li Yang, Han Zhang et al.

CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark

Marcus Ma, Duong Minh Le, Junmo Kang et al.

Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning

Zhiyuan Ma, Zhenya Huang, Jiayu Liu et al.

Controlling Equational Reasoning in Large Language Models with Prompt Interventions

Jordan Meadows, Marco Valentino, André Freitas

A Compact Model for Mathematics Problem Representations Distilled from BERT

Hao Ming, Xinguo Yu, Xiaotian Cheng et al.

Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities

Kshitij Mishra, Manisha Burja, Asif Ekbal

Reasoning over Uncertain Text by Generative Large Language Models

Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi

Tensorized Attention for Understanding Multi-Object Relationships

Makoto Nakatsuji, Yasuhiro Fujiwara, Atsushi Otsuka et al.

Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution

Abhilash Nandy, Sambaran Bandyopadhyay

Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems

Atsumoto Ohashi, Ryuichiro Higashinaka

Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations

Chengfu Ou, Lingyun Xiang, Yangfan Liu

Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing

Shanbao Qiao, Xuebing Liu, Seung-Hoon Na

Interweaving Memories of a Siamese Large Language Model

Xin Song, Zhikai Xue, Guoxiu He et al.

VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification

Kai Sun, Hao Wu, Bin Shi et al.

A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation

Shiyu Tian, Shuyue Xing, Xingrui Li et al.

A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation

Bingbing Wang, Yiming Du, Bin Liang et al.

Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs

Guoqing Wang, Wen Wu, Guangze Ye et al.

STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling

Jieyi Wang, Yue Huang, Zeming Liu et al.

McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension

Tongguan Wang, Mingmin Wu, Guixin Su et al.

RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

Zhensheng Wang, Wenmian Yang, Kun Zhou et al.

STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs

Zhuang Wang, Linna Zhou, Xuekai Chen et al.

Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation

Xin Wu, Yuqi Bu, Yifei Chen et al.

Explicitly Guided Difficulty-Controllable Visual Question Generation

Jiayuan Xie, Mengqiu Cheng, Xinting Zhang et al.

DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models

Jinxiang Xie, Yilin Li, Xunjian Yin et al.

Fine-Tuning Language Models with Collaborative and Semantic Experts

Jiaxi Yang, Binyuan Hui, Min Yang et al.

Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training

Ji Won Yoon

DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent

Dingbo Yuan, Yipeng Chen, Guodong Liu et al.

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation

Hongwei Yuan, Xiu Tang, Ke Chen et al.

Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment

Jinshan Zeng, Xianglong Yu, Xianchao Tong et al.

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation

Hongxuan Zhang, Yao Zhao, Jiaqi Zheng et al.

Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation

Junwei Zhang, Xiaolin Li

Code-switching Mediated Sentence-level Semantic Learning

Shuai Zhang, Jiangyan Yi, Zhengqi Wen et al.

Capability Instruction Tuning

Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective

You Zhang, Jin Wang, Liang-Chih Yu et al.

Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding

Yuxiang Zhang, Jitao Sang

Prototype-Guided Multimodal Relation Extraction based on Entity Attributes

Zefan Zhang, Weiqi Zhang, Yanhui Li et al.

Mixture of Knowledge Minigraph Agents for Literature Review Generation

Zhi Zhang, Yan Liu, Sheng-hua Zhong et al.

Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency

Hanyu Zhao, Li Du, Yiming Ju et al.

MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning

Liwen Zheng, Chaozhuo Li, Litian Zhang et al.

CharacterBench: Benchmarking Character Customization of Large Language Models

Jinfeng Zhou, Yongkang Huang, Bosi Wen et al.

Editing Memories Through Few Targeted Neurons

Wei Zhou, Wei Wei, Guibang Cao et al.

RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation

Jia Zhu, Hanghui Guo, Weijie Shi et al.

TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings

Tianyu Zong, Bingkang Shi, Hongzhu Yi et al.

Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction

Shuyang Dong, Meiyi Ma, Josephine Lamp et al.

The Unreasonable Effectiveness of Open Science in AI: A Replication Study

Odd Erik Gundersen, Odd Cappelen, Martin Mølnå et al.

Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models

Jiaming He, Wenbo Jiang, Guanyu Hou et al.

SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away

Jiliang Hu, Jiajia Li, Ziyi Pan et al.

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion

Xuan Liu, Siqi Cai, Qihua Zhou et al.

Provably Secure Image Robust Steganography via Cross-modal Error Correction

Yuang Qi, Kejiang Chen, Na Zhao et al.

Privacy-and-Utility-Aware Publishing of Schedules

Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak et al.

Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks

Davide Bilò, Keerti Choudhary, Sarel Cohen et al.

State Encodings for GNN-Based Lifted Planners

Rostislav Horčik, Gustav Šír, Vítězslav Šimek et al.

Multiple Mean-Payoff Optimization Under Local Stability Constraints

David Klaška, Antonín Kučera, Vojtěch Kůr 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.

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

Xiaotian Liu, Jihwan Jeong, Ayal Taitler 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

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

Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement

Wuliang Huang, Yiqiang Chen, Xinlong Jiang et al.

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

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

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.

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

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

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

Ruihao Zheng, Zhenkun Wang

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.

CODE: Confident Ordinary Differential Editing

Bastien Van Delft, Tommaso Martorella, Alexandre Alahi

Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt

Benfeng Wang, Chao Huang, Jie Wen 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

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.

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.

Quantum Best Arm Identification with Quantum Oracles

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

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks

Zhiqiang Wang, Jiayu Guo, Jianqing Liang 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.

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

Di Wu, Qilong Feng, Junyu Huang et al.

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.

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.

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.

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

Flexible Sharpness-Aware Personalized Federated Learning

Xinda Xing, Qiugang Zhan, Xiurui Xie et al.

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

Qinfu Xu, Yiwei Wei, Chunlei Wu 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.

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

Yuguang Yan, Canlin Yang, Yuanlin Chen et al.

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

Huanhuan Yang, Dianxi Shi, Songchang Jin et al.

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

Junyi Chai, Taeuk Jang, Jing Gao et al.

One-Pass Feature Evolvable Learning with Theoretical Guarantees

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

Online Learning in Risk Sensitive constrained MDP

Arnob Ghosh, Mehrdad Moharrami

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

Zhigaoyuan Wang, Ying Sun, Hengshu Zhu

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.

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

Amit Attia, Ofir Gaash, Tomer Koren

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.

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

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.

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

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

Andong Wang, Yuning Qiu, Zhong Jin et al.

Learning Vision and Language Concepts for Controllable Image Generation

Shaoan Xie, Lingjing Kong, Yujia Zheng 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

Learning Extrapolative Sequence Transformations from Markov Chains

Sophia Hager, Aleem Khan, Andrew Wang et al.

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

Zhengrui Guo, Qichen Sun, Jiabo MA et al.

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

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

Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures

Alina Ene, Alessandro Epasto, Vahab Mirrokni 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

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

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

Xiangheng Wang, Ziquan Fang, Chenglong Huang 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.

Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators

Srinath Dama, Kevin L Course, Prasanth B Nair

iN2V: Bringing Transductive Node Embeddings to Inductive Graphs

Nicolas Lell, Ansgar Scherp

Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent

Donghwa Kim, Jaewook Lee, Chulhee Yun

AutoCATE: End-to-End, Automated Treatment Effect Estimation

Toon Vanderschueren, Tim Verdonck, Mihaela van der Schaar et al.

Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity

Qiuhao Wang, Yuqi Zha, Chin Pang Ho et al.

Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics

Tyler Kastner, Mark Rowland, Yunhao Tang et al.

Multi-View Graph Clustering via Node-Guided Contrastive Encoding

Yazhou Ren, Junlong Ke, Zichen Wen et al.

Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations

Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda et al.

Towards a Formal Theory of Representational Compositionality

Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio et al.

Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems

Hongyuan Su, Yu Zheng, Yuan Yuan et al.

Cover learning for large-scale topology representation

Luis Scoccola, Uzu Lim, Heather Harrington

BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition

Fei Long, Xiaoou Li, jiaming Lv et al.

Quadratic Upper Bound for Boosting Robustness

Euijin You, Hyang-Won Lee

Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves

Mykhailo Uss, Ruslan Yermolenko, Oleksii Shashko et al.

Backdoor Attacks in Token Selection of Attention Mechanism

Yunjuan Wang, Raman Arora

Differentiable Structure Learning with Ancestral Constraints

Taiyu Ban, Changxin Rong, Xiangyu Wang et al.

Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness

Shuang Zeng, Yunwen Lei

Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences

Kirsten Morehouse, Siddharth Swaroop, Weiwei Pan

PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design

Zhenqiao Song, Tianxiao Li, Lei Li et al.

Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability

Yunshu Dai, Jianwei Fei, Fangjun Huang et al.

Permutation-Free High-Order Interaction Tests

Zhaolu Liu, Robert Peach, Mauricio Barahona

Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks

Rohit Sonker, Alexandre Capone, Andrew Rothstein et al.

Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs

Xun Wang, Jing Xu, Franziska Boenisch et al.

Diversified Flow Matching with Translation Identifiability

Sagar Shrestha, Xiao Fu

Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models

Xichen Guo, Feng Xie, Yan Zeng et al.

Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation

Bohan Lyu, Yadi Cao, Duncan Watson-Parris et al.

Integration-free Kernels for Equivariant Gaussian Process Modelling

Tim Steinert, David Ginsbourger, August Lykke-Møller et al.

Instance Correlation Graph-based Naive Bayes

Chengyuan Li, Liangxiao Jiang, Wenjun Zhang et al.

Graph Minimum Factor Distance and Its Application to Large-Scale Graph Data Clustering

Jicong Fan

A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features

Ihab Bendidi, Yassir El Mesbahi, Alisandra Denton et al.

NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics

Changshuo Liu, Lingze Zeng, Kaiping Zheng et al.

Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees

Thien Nguyen, Huy Nguyen

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

Pratinav Seth, Michelle Lin, BREFO YAW et al.

Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves

Amer Krivosija, Alexander Munteanu, André Nusser et al.

A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity

Yufei Huang, Changhu Wang, Junjie Tang et al.