Most Cited 2025 "latent code offset" Papers

Robust Graph Condensation via Classification Complexity Mitigation

Jiayi Luo, Qingyun Sun, Beining Yang et al.

3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction

Maria Taktasheva, Lily Goli, Alessandro Fiorini et al.

Lyapunov-Stable Adaptive Control for Multimodal Concept Drift

Tianyu Pan, Mengdi Zhu, Alexa Cole et al.

Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy

Xinlong Li, Di Lin, Shaoyiyi Gao et al.

OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation

Xiao Cui, Yulei Qin, Wengang Zhou et al.

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning

Han Liu, Peng Cui, Bingning Wang et al.

Uncertainty-Guided Exploration for Efficient AlphaZero Training

Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong et al.

Real-World Reinforcement Learning of Active Perception Behaviors

Edward Hu, Jie Wang, Xingfang Yuan et al.

Structure-Guided Diffusion Models for High-Fidelity Portrait Shadow Removal

wanchang Yu, Qing Zhang, Rongjia Zheng et al.

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

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning

Simin Li, Zihao Mao, Hanxiao Li et al.

Statistical Parity with Exponential Weights

Stephen Pasteris, Chris Hicks, Vasilios Mavroudis

Monotone and Separable Set Functions: Characterizations and Neural Models

Soutrik Sarangi, Yonatan Sverdlov, Nadav Dym et al.

TopER: Topological Embeddings in Graph Representation Learning

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

Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting

Ruyi An, haicheng huang, Huangjie Zheng et al.

Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers

Zhuomeng Zhang, Fangqi Li, Hanyi Wang et al.

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces

Xueliang Zhao, Wei Wu, Jian Guan et al.

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

Shixiang Liu

Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents

Qianlan Yang, XJ Wang, Danielle Perszyk et al.

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection

Yang Zhao, Kai Xiong, Xiao Ding et al.

Adaptive Parameter Selection for Tuning Vision-Language Models

Yi Zhang, Yi-Xuan Deng, Meng-Hao Guo et al.

Can Dependencies Induced by LLM-Agent Workflows Be Trusted?

Yu Yao, Yiliao (Lia) Song, Yian Xie et al.

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

WEI-KAI CHANG, Rajiv Khanna

CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs

Gunho Park, Jeongin Bae, Byeongwook Kim et al.

$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data

Sheida Rahnamai Kordasiabi, Damian Nogare, Florian Jug

An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction

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

SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding

Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.

Revealing Multimodal Causality with Large Language Models

Jin Li, Shoujin Wang, Qi Zhang et al.

SemiVisBooster: Boosting Semi-Supervised Learning for Fine-Grained Classification through Pseudo-Label Semantic Guidance

Wenjin Zhang, Xinyu Li, Chenyang Gao et al.

Searching for Optimal Solutions with LLMs via Bayesian Optimization

Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das et al.

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

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

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

Haifan Gong, Xuanye Zhang, Ruifei Zhang et al.

Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation

Jianyang Qin, Chaoyang Li, Jinhao Cui et al.

HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction

Yuan Wang, Yali Li, Lixiang Li et al.

EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation

Dongyang Zeng, Yaping Liu, Wei Zhang et al.

Learning Simple Interpolants for Linear Integer Arithmetic

Minchao Wu, Naoki Kobayashi

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

Tong Yang, Bo Dai, Lin Xiao et al.

RandLoRA: Full rank parameter-efficient fine-tuning of large models

Paul Albert, Frederic Zhang, Hemanth Saratchandran et al.

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation

Joëlle Hanna, Damian Borth

HUST: High-Fidelity Unbiased Skin Tone Estimation via Texture Quantization

Zimin Ran, Xingyu Ren, Xiang An et al.

Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting

Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.

4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos

Mengqi Guo, Bo Xu, Yanyan Li et al.

BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories

Wonjung Park, Suhyun Ahn, Maria Hernandez et al.

Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling

Yufan Li, Pragya Sur

SuperCLIP: CLIP with Simple Classification Supervision

Weiheng Zhao, Zilong Huang, Jiashi Feng et al.

Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions

Ye Zhu, Duo Xu, Zhiwei Deng et al.

Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization

Bo Ling, Zhengyu Gan, Wanyuan Wang et al.

Robust Contextual Pricing

Anupam Gupta, Guru Guruganesh, Renato Leme et al.

What we need is explicit controllability: Training 3D gaze estimator using only facial images

Tingwei Li, Jun Bao, Zhenzhong Kuang et al.

Plug-and-Play Interpretable Responsible Text-to-Image Generation via Dual-Space Multi-facet Concept Control

Basim Azam, Naveed Akhtar

Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning

Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.

Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery

Xinhang Wan, Jiyuan Liu, Qian Qu et al.

Robust and Computation-Aware Gaussian Processes

Test Time Scaling for Neural Processes

Hyungi Lee, Moonseok Choi, Hyunsu Kim et al.

Compact Memory for Continual Logistic Regression

Yohan Jung, Hyungi Lee, Wenlong Chen et al.

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

Chaeyun Jang, Deukhwan Cho, Seanie Lee et al.

Procurement Auctions with Predictions: Improved Frugality for Facility Location

Eric Balkanski, Nicholas DeFilippis, Vasilis Gkatzelis et al.

OffsetOPT: Explicit Surface Reconstruction without Normals

Huan Lei

Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling

Chenghao Xu, guangtao lyu, Jiexi Yan et al.

Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution

Fei Ye, Adrian Bors

On Traceability in $\ell_p$ Stochastic Convex Optimization

Sasha Voitovych, Mahdi Haghifam, Idan Attias et al.

Anomaly Detection of Integrated Circuits Package Substrates Using the Large Vision Model SAIC: Dataset Construction, Methodology, and Application

Ruiyun Yu, Bingyang Guo, Haoyuan Li

Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services

Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova et al.

UniViT: Unifying Image and Video Understanding in One Vision Encoder

feilong tang, xiangan, Haolin Yang et al.

Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations

Shixin Li, Zewei Li, Xiaojing Ma et al.

Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP

Shohei Ohsawa

Online Learning in the Repeated Mediated Newsvendor Problem

Nataša Bolić, Tom Cesari, Roberto Colomboni et al.

Neural Fractional Attention Differential Equations

Qiyu Kang, Wenjun Cui, Xuhao Li et al.

Explainable Saliency: Articulating Reasoning with Contextual Prioritization

Nuo Chen, Ming Jiang, Qi Zhao

A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection

Gaku Morio, Harri Rowlands, Dominik Stammbach et al.

Active Hyperspectral Imaging Using an Event Camera

Bohan Yu, Jinxiu Liang, Zhuofeng Wang et al.

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

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

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

Shi Chen, Erik Sandström, Sandro Lombardi et al.

Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards

Kyungjae Lee, Dohyeong Kim, Taehyun Cho et al.

Versatile Transferable Unlearnable Example Generator

Zhihao Li, Jiale Cai, Gezheng Xu et al.

SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization

Tongtong Su, Yun Liao, Fengbo Zheng

GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data

Lubin Bai, Xiuyuan Zhang, Siqi Zhang et al.

Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes

Sishun Liu, KE DENG, Yongli Ren et al.

Memory-Efficient Training with In-Place FFT Implementation

XINYU DING, Bangtian Liu, Siyu Liao et al.

Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization

Ming Nie, Chunwei Wang, Jianhua Han et al.

Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction

Jin Hu, Jiakai Wang, linna Jing et al.

BADiff: Bandwidth Adaptive Diffusion Model

Xi Zhang, Hanwei Zhu, Yan Zhong et al.

Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems

Saeed Amizadeh, Sara Abdali, Yinheng Li et al.

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

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

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement

Wenbo Yang, Zhongling Wang, Zhou Wang

Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables

Joshua Wu, Hari Koneru, James Ravenel et al.

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

Shaocong Ma, Heng Huang

Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion

Xi Zhang, Yanyi Li, Yisi Luo et al.

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering

Qiwen Gu, Xufei Wang, Junqiao Zhao et al.

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization

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

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning

GUOGUO AI, Hezhe Qiao, Hui Yan et al.

LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search

Pengyi Li, Hongyao Tang, Jinbin Qiao et al.

Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs

Jun Wang, Liang Ding, Shuai Wang et al.

Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation

Xu Chen, Yang Li, Yahong Han et al.

CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation

Li Liang, Bo Miao, Xinyu Wang et al.

Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths

Sheng Huang, Lele Fu, Fanghua Ye et al.

Automated Proof of Polynomial Inequalities via Reinforcement Learning

Banglong Liu, Niuniu Qi, Xia Zeng et al.

Learning Expandable and Adaptable Representations for Continual Learning

Ruilong Yu, Mingyan Liu, Fei Ye et al.

Bio-Inspired Image Restoration

Yuning Cui, Wenqi Ren, Alois Knoll

GLNCD: Graph-Level Novel Category Discovery

Bowen Deng, Lele Fu, Sheng Huang et al.

Easy-editable Image Vectorization with Multi-layer Multi-scale Distributed Visual Feature Embedding

Ye Chen, Zhangli Hu, Zhongyin Zhao et al.

Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions

Nicolai Hermann, Jorge Condor, Piotr Didyk

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions

Wenyuan Zhao, Adithya Balachandran, Chao Tian et al.

ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity

Yefei He, Feng Chen, Jing Liu et al.

Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes

Peter Ochieng

Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning

Zhuang Qi, Yu Pan, Lei Meng 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

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

jusheng zhang, Yijia Fan, Zimo Wen et al.

Rao-Blackwellised Reparameterisation Gradients

Kevin H. Lam, Thang Bui, George Deligiannidis et al.

MistSense: Versatile Online Detection of Procedural and Execution Mistakes

Constantin Patsch, Yuankai Wu, Marsil Zakour et al.

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

Xixi Wan, AIHUA ZHENG, Bo Jiang et al.

Fairness-aware Bayes Optimal Functional Classification

Xiaoyu Hu, Gengyu Xue, Zhenhua Lin et al.

OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation

Dongjun Hwang, Yejin Kim, Minyoung Lee et al.

Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias

Xinyan Liang, Shuai Li, Qian Guo et al.

AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness

Zhuoqun Huang, Neil Marchant, Olga Ohrimenko et al.

Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning

Alex Su, Haozhe Wang, Weiming Ren et al.

Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion

Shaowei Liu, David Yao, Saurabh Gupta et al.

EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features

Xinran Yang, Donghao Ji, Yuanqi Li et al.

Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator

Gongwei Chen, Lirong Jie, Lexiao Zou et al.

Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Zixi Wang, Yushe Cao, Yubo Huang et al.

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

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

ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation

Zidong Cao, Jinjing Zhu, Hao Ai et al.

Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions

Weixin An, Yuanyuan Liu, Fanhua Shang et al.

ProSAM: Enhancing the Robustness of SAM-based Visual Reference Segmentation with Probabilistic Prompts

Xiaoqi Wang, Clint Sebastian, Wenbin He et al.

Toward Interpretable Evaluation Measures for Time Series Segmentation

Félix Chavelli, Paul Boniol, Michaël Thomazo

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

Jan Sobotka, Luca Baroni, Ján Antolík

Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss

Yuxiao Wang, Yu Lei, Zhenao WEI et al.

Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression

Jie Liu, Tiexin Qin, Hui Liu et al.

BOOTPLACE: Bootstrapped Object Placement with Detection Transformers

Hang Zhou, Xinxin Zuo, Rui Ma et al.

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee et al.

Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI

Luca Andolfi, Eleonora Giunchiglia

Dimensional Collapse in VQVAEs: Evidence and Remedies

Jiayou Zhang, Yifan Shen, Guangyi Chen et al.

Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks

Florian Hölzl, Daniel Rueckert, Georgios Kaissis

Leveraging Conditional Dependence for Efficient World Model Denoising

Shaowei Zhang, Jiahan Cao, Dian Cheng et al.

CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing

Xinran Qin, Zhixin Wang, Fan Li et al.

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

Eun Chang, Zhuangqun Huang, Yiwei Liao et al.

AniGrad: Anisotropic Gradient-Adaptive Sampling for 3D Reconstruction From Monocular Video

Noah Stier, Alex Rich, Pradeep Sen et al.

Authentic 4D Driving Simulation with a Video Generation Model

Lening Wang, Wenzhao Zheng, Dalong Du et al.

CLEAR: Command Level Annotated Dataset for Ransomware Detection

Barak Bringoltz, Elisha Halperin, Ran Feraru et al.

Improving the Straight-Through Estimator with Zeroth-Order Information

Ningfeng Yang, Tor Aamodt

Selective Omniprediction and Fair Abstention

Sílvia Casacuberta, Varun Kanade

SEREP: Semantic Facial Expression Representation for Robust In-the-Wild Capture and Retargeting

Arthur Josi, Luiz Gustavo Hafemann, Abdallah Dib et al.

Optimal Regret of Bandits under Differential Privacy

Achraf Azize, Yulian Wu, Junya Honda et al.

HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning

Chuhao Zhou, Jianfei Yang

Functional data analysis for multivariate distributions through Wasserstein slicing

Han Chen, Hans-Georg Müller

Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework

Yujie Xing, Xiao Wang, Bin Wu et al.

Removing Concepts from Text-to-Image Models with Only Negative Samples

Hanwen Liu, Yadong Mu

Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation

Jiahuan Zhou, Chao Zhu, Zhenyu Cui et al.

SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification

Hsi-Ling Chen, Chun-Shien Lu, Pau-Choo Chung

MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations

The Viet Bui, Tien Mai, Thanh Nguyen

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

Yan Zhang, Yang Gao, Min Li

Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning

Chaoyang Li, Runze Ye, Jianyang Qin et al.

AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction

Vansh Sharma, Harish Ganesh, Maryam Akram et al.

Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models

Byeonghu Na, Mina Kang, Jiseok Kwak et al.

Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation

Mingyang Liu, Xinyang Chen, Xiucheng Li et al.

CONGO: Compressive Online Gradient Optimization

Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena et al.

Lidar Waveforms are Worth 40x128x33 Words

Dominik Scheuble, Hanno Holzhüter, Steven Peters et al.

Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation

Jing Wang, Wonho Bae, Jiahong Chen et al.

Shadow Generation Using Diffusion Model with Geometry Prior

Haonan Zhao, Qingyang Liu, Xinhao Tao et al.

QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks

Qian Chen, Linxin Yang, Akang Wang et al.

Transferring Causal Effects using Proxies

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

Federated Few-Shot Class-Incremental Learning

Muhammad Anwar Masum, Mahardhika Pratama, Lin Liu et al.

Non-Uniform Multiclass Learning with Bandit Feedback

Steve Hanneke, Amirreza Shaeiri, Hongao Wang

OCK: Unsupervised Dynamic Video Prediction with Object-Centric Kinematics

YeonJi Song, Jaein Kim, Suhyung Choi et al.

Adaptively Coordinating with Novel Partners via Learned Latent Strategies

Benjamin Li, Shuyang Shi, Lucia Romero et al.

PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning

Mingqi Wu, Qiang Sun, Archer Yang

Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs

Jiaqi Ding, Tingting Dan, Zhixuan Zhou et al.

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

Xingyu Chen, Shihao Ma, Runsheng Lin et al.

YEAST: Yet Another Sequential Test

Alexey Kurennoy, Majed Dodin, Tural Gurbanov et al.

LaCoOT: Layer Collapse through Optimal Transport

Victor Quétu, Zhu LIAO, Nour Hezbri et al.

AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches

Wenjun Ji, Yuxiang Fu, Luyang Ying et al.

Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem

Yichen Li, Yijing Shan, YI LIU et al.

Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing

Danial Samadi Vahdati, Tai Nguyen, Ekta Prashnani et al.

Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression

Xi Zhang, Xiaolin Wu, Jiamang Wang et al.

VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning

Haoran Xu, Peixi Peng, Guang Tan et al.

HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis

Mirela Ostrek, Michael Black, Justus Thies

SEMPO: Lightweight Foundation Models for Time Series Forecasting

Hui He, Kun Yi, Yuanchi Ma et al.

SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference

Jiahui Wang, Haiyue Zhu, Haoren Guo et al.

AMDANet: Attention-Driven Multi-Perspective Discrepancy Alignment for RGB-Infrared Image Fusion and Segmentation

Haifeng Zhong, Fan Tang, Zhuo Chen et al.

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

Fujun Han, Peng Ye

Fairness-Regularized Online Optimization with Switching Costs

Pengfei Li, Yuelin Han, Adam Wierman et al.

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

Wei Shen, Weiqi Liu, Mingde Chen et al.

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

Aobo Li, Jinjian Wu, Yongxu Liu et al.

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

Abhijnan Nath, Nikhil Krishnaswamy

EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths

Zhening Li, Armando Solar-Lezama, Yisong Yue et al.

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

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

On the VC dimension of deep group convolutional neural networks

Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber

Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems

Nhan-Phu Chung, Jinhui Han, Bohan Li et al.

Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity

Yuhan Zhang, Long Zhuo, Ziyang Chu et al.

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

Junlang Huang, Chen Hao, Li Luo et al.

The Quotient Bayesian Learning Rule

Mykola Lukashchuk, Raphaël Trésor, Wouter Nuijten et al.

BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction

Yuguang Li, Ivaylo Boyadzhiev, Zixuan Liu et al.

A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing

Alex Clinton, Thomas Zeng, Yiding Chen et al.

Preference Distillation via Value based Reinforcement Learning

Minchan Kwon, Junwon Ko, Kangil kim et al.

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

Jinguo Luo, Weihong Ren, Quanlong Zheng et al.

Support is All You Need for Certified VAE Training

Changming Xu, Debangshu Banerjee, Deepak Vasisht et al.

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

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

Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model

Yudong Li, Jingyuan Wang, Xie Yu et al.

CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation

Ziao Wang, Sixing Yan, Kejing Yin et al.