Most Cited 2025 "hard example identification" Papers

Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference

Jiangou Zhan, Wenhui Zhang, Zheng Zhang et al.

Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization

Shira Vansover-Hager, Tomer Koren, Roi Livni

SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates

Xi Zeng, Fei Ni, Shaoqing Jiao et al.

Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning

Wenwu Zeng, Liangrui Pan, Boya Ji et al.

Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD

Ze Peng, Jian Zhang, Yisen Wang et al.

Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning

Xue Zhao, Qinying Gu, Xinbing Wang et al.

Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location

Na Yu, Yutong Deng, Shunyu Liu et al.

Zero-Shot Generalization of GNNs over Distinct Attribute Domains

Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua et al.

PriFold: Biological Priors Improve RNA Secondary Structure Predictions

Chenchen Yang, Hao Wu, Tao Shen et al.

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations

Yongxin Xu, Xinke Jiang, Xu Chu et al.

MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay

Zeke Xia, Ming Hu, Dengke Yan et al.

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

Yang Liu, Xiaoping Wang, Kai Lu

Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness

Juntao Wu, Ziyu Song, Xiaoyu Zhang et al.

Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling

Fang Wu, Bozhen Hu, Stan Z. Li

Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training

Yueqing Wang, Peng Zhang, Yushuang Liu et al.

FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask

Xiaozheng Wang, Yong Yang, Shuying Huang et al.

VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy

Ruoqi Wang, Haitao Wang, Qiong Luo et al.

PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration

Jia Wang, Liyan Zhu, Zhe Wang et al.

An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data

Nikita Lagrange, Herve Isambert

QAPyramid: Fine-grained Evaluation of Content Selection for Text Summarization

Shiyue Zhang, David Wan, Arie Cattan et al.

Customizing the Inductive Biases of Softmax Attention using Structured Matrices

Yilun Kuang, Noah Amsel, Sanae Lotfi et al.

Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts

Lei Tan, Yuliang Xue, Guobiao Li et al.

Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models

Hualin Zhang, Haozhen Zhang, Zhekai Liu et al.

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining

Xiaozhuang Song, Yuzhao Tu, Hangting Ye et al.

SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis

Yi Shi, Yun-Kai Wang, Xu-Peng Tian et al.

Towards Better Robustness Against Natural Corruptions in Document Tampering Localization

Huiru Shao, Kaizhu Huang, Wei Wang et al.

DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning

Xiaolong Xu, Yibo Zhou, Haolong Xiang et al.

Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow

Hongru Yang, Zhangyang Wang, Jason Lee et al.

Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation

Xing Qiu, Guang Cheng, Weizhou Zhu et al.

Regret-Free Reinforcement Learning for Temporal Logic Specifications

R Majumdar, Mahmoud Salamati, Sadegh Soudjani

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation

Chang Liu, Yixin Wang, Moontae Lee

A Simple and Comprehensive Benchmark for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Kailei Guo et al.

Rethinking Associative Memory Mechanism in Induction Head

Shuo Wang, Issei Sato

Hidden in plain sight: VLMs overlook their visual representations

Stephanie Fu, tyler bonnen, Devin Guillory et al.

Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding

Zhang Jiasheng, Delvin Zhang, Shuang Liang et al.

Safety-Prioritizing Curricula for Constrained Reinforcement Learning

Cevahir Koprulu, Thiago Simão, Nils Jansen et al.

Locality Preserving Markovian Transition for Instance Retrieval

Jifei Luo, Wenzheng Wu, Hantao Yao et al.

Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation

Yan Sun, Stanley Kok

Adapting Precomputed Features for Efficient Graph Condensation

Yuan Li, Jun Hu, Zemin Liu et al.

TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization

Songtao Lu

HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks

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

Srinath Dama, Kevin L Course, Prasanth B Nair

One-Step Generalization Ratio Guided Optimization for Domain Generalization

Sumin Cho, Dongwon Kim, Kwangsu Kim

SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning

Li Ni, Rui Ye, Wenjian Luo et al.

Trusted Multi-View Classification with Expert Knowledge Constraints

Xinyan Liang, Shijie Wang, Yuhua Qian et al.

A Computational Framework for Modeling Emergence of Color Vision in the Human Brain

Atsunobu Kotani, Yi-Ren Ng

Sleeping Reinforcement Learning

Simone Drago, Marco Mussi, Alberto Maria Metelli

Pre-training of Foundation Adapters for LLM Fine-tuning

Linh The Nguyen, Dat Quoc Nguyen

Multi-modal Deepfake Detection via Multi-task Audio-Visual Prompt Learning

Hui Miao, Yuanfang Guo, Zeming Liu et al.

Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets

Xu Wang, Fuyou Miao, Wenjie Liu et al.

Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy

Jian-Ping Mei, Weibin Zhang, Jie Chen et al.

Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization

Hiroshi Sawada, Kazuo Aoyama, Yuya Hikima

Number Theoretic Accelerated Learning of Physics-Informed Neural Networks

Takashi Matsubara, Takaharu Yaguchi

BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP

Hao Yuan, wenli ouyang, Changwen Zhang et al.

M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity

Tianxu Lv, Jie Zhu, Jinyi Liu et al.

Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold

Yilong Song, Peijin Li, Bin Gao et al.

GenAL: Generative Agent for Adaptive Learning

Rui Lv, Qi Liu, Weibo Gao et al.

DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection

Weihai Lu, Yu Tong, Zhiqiu Ye

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning

Yupei Liu, Yanting Wang, Jinyuan Jia

iN2V: Bringing Transductive Node Embeddings to Inductive Graphs

Nicolas Lell, Ansgar Scherp

Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent

Yu-Chuan Chen, Hen-Hsen Huang

Teaching Models to Understand (but not Generate) High-risk Data

Ryan Yixiang Wang, Matthew Finlayson, Luca Soldaini et al.

Training Free Guided Flow-Matching with Optimal Control

Luran Wang, Chaoran Cheng, Yizhen Liao et al.

Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures

Yingzhao Jian, Yue Zhang, Ying Wei et al.

Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL

Cevahir Koprulu, Franck Djeumou, ufuk topcu

Online Linear Classification with Massart Noise

Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos et al.

Enhancing the Adversarial Robustness via Manifold Projection

Zhiting Li, Shibai Yin, Tai-Xiang Jiang et al.

AI-Powered Algorithm-Centric Quantum Processor Topology Design

Tian Li, Xiao-Yue Xu, Chen Ding et al.

Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection

Kai Li, Wenqi Ren, Jianshu Li et al.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization

Ziyu Gong, Jim Lim, David I. Inouye

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis

Sunghwan Hong, Jaewoo Jung, Heeseong Shin et al.

IWRN:A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack

Feifei Kou, Yuhan Yao, Siyuan Yao et al.

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective

Yuanhong Zhang, Muyao Yuan, Weizhan Zhang et al.

Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge

Hanglei Hu, Yingying Guo, Zhikang Chen et al.

Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory

Sizhuo Jin, Shuo Chen, Jianjun Qian et al.

HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network

Qiang He, Yunting Bao, Hui Fang et al.

Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning

Zehua Han, Jing Xiao, Qirui Zhao et al.

HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning

Rong Han, Wenbing Huang, Lingxiao Luo et al.

Oracle efficient truncated statistics

Konstantinos Karatapanis, Vasilis Kontonis, Christos Tzamos

A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation

Daniel Freedman, Eyal Rozenberg, Alex Bronstein

Partial Perspectives: How LLMs Handle Logically Inconsistent Knowledge in Reasoning Tasks

Zichao Li, Ines Arous, Jackie CK Cheung

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

Donghwa Kim, Jaewook Lee, Chulhee Yun

Learning Joint Behaviors with Large Variations

Tianxu Li, Kun Zhu

Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation

Guanglong Sun, Hongwei Yan, Liyuan Wang et al.

A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations

Sheng Xu, Bo Yue, Hongyuan Zha et al.

Learning Safe Control via On-the-Fly Bandit Exploration

Alexandre Capone, Ryan Cosner, Aaron Ames et al.

Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association

Chao Deng, Hongdong Li, Jianxin Wang

A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations

Junwei Su, Chuan Wu

Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning

Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao et al.

K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes

Hideaki Kim, Tomoharu Iwata, Akinori Fujino

In vivo cell-type and brain region classification via multimodal contrastive learning

Han Yu, Hanrui Lyu, YiXun Xu et al.

When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration

Suorong Yang, Peng Ye, Furao Shen et al.

CryoDomain: Sequence-free Protein Domain Identification from Low-resolution Cryo-EM Density Maps

Muzhi Dai, Zhuoer Dong, Weining Fu et al.

Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics

Hongbin Pei, Jingxin Hai, Yu Li et al.

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

Sannyuya Liu, Jintian Feng, Xiaoxuan Shen et al.

Learning from weak labelers as constraints

Vishwajeet Agrawal, Rattana Pukdee, Nina Balcan et al.

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks

Dongwoo Lee, Dong Bok Lee, Steven Adriaensen et al.

G2LDetect: A Global-to-Local Approach for Hallucination Detection

Xiaoxia Cheng, Zeqi Tan, Zhe Zheng et al.

ReactGPT: Understanding of Chemical Reactions via In-Context Tuning

Zhe Chen, Zhe Fang, Wenhao Tian et al.

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

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

Maintaining Proportional Committees with Dynamic Candidate Sets

Chris Dong, Jannik Peters

On Mechanistic Circuits for Extractive Question-Answering

Samyadeep Basu, Vlad I Morariu, Ryan A. Rossi et al.

Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits

Jinzhao Li, Nan Jiang, Yexiang Xue

Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs

Andrey Kofnov, Daniel Kapla, Ezio Bartocci et al.

Reward Translation via Reward Machine in Semi-Alignable MDPs

Yun Hua, Haosheng Chen, Wenhao Li et al.

Descent with Misaligned Gradients and Applications to Hidden Convexity

Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar et al.

CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection

Jie Chen, Liangmin Wang, Huijuan Zhu et al.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

Sungwon Kim, Namkyeong Lee, Yunyoung Doh et al.

Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts

Haoyang Li, Xin Wang, Xueling Zhu et al.

TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes

Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo et al.

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale

Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo et al.

Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning

Minping Chen, You-Liang Huang, Zeyi Wen

“Heart Flows with Zen”: Exploring Multi-modal Mixed Reality to Promote the Inheritance and Experience of Cultural Heritage

Wenchen Winston Guo, Zhirui Chen, Guoyu Sun et al.

Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation

Haozhe Ma, Fangling Li, Jing Lim et al.

PASS: Private Attributes Protection with Stochastic Data Substitution

Yizhuo Chen, Chun-Fu (Richard) Chen, Hsiang Hsu et al.

Experience Level Influences User's Criteria for Avatar Animation Realism

Yudong Huang, Avneet Singh, Mark Roman Miller

Settling the Maximin Share Fairness for Scheduling among Groups of Machines

Bo Li, Fangxiao WANG, Xing Shiji

Spatiotemporal Calibration and Ground Truth Estimation for High-Precision SLAM Benchmarking in Extended Reality

Zichao Shu, Shitao Bei, Lijun Li et al.

HaptiCeiling: An Encountered-type Overhead Haptic Interface in Virtual Reality

Kaihan Wang, Han Shi, Junyu Chen et al.

Credit-based self organizing maps: training deep topographic networks with minimal performance degradation

Amir Ozhan Dehghani, Xinyu Qian, Asa Farahani et al.

Passive Haptics Role in VR-Based Ergonomic Workplace Assessment

Robin Grießel, Britta Weber, Benjamin Weyers

REM: Evaluating LLM Embodied Spatial Reasoning through Multi-Frame Trajectories

Jacob Thompson, Emiliano Garcia-Lopez, Yonatan Bisk

Flow-field inference from neural data using deep recurrent networks

Timothy Doyeon Kim, Thomas Luo, Tankut Can et al.

GSHOI Denoiser: Denoising Gaussian Hand-Object Interaction Rendering

Lizhi Zhao, Xuequan Lu, Bin Hu et al.

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Interactive AI Agents

Xuhui Zhou, Hyunwoo Kim, Faeze Brahman et al.

Diversified Flow Matching with Translation Identifiability

Sagar Shrestha, Xiao Fu

Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection

Jinyu Cai, Yunhe Zhang, Fusheng Liu 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.

HyperINF: Unleashing the HyperPower of Schulz's Method for Data Influence Estimation

Xinyu Zhou, Simin Fan, Martin Jaggi

Scalable Object Detection in Mixed Reality using Incremental Re-training and One-shot 3D Annotation

Alireza Taheritajar, Jeffrey L Benson, Anthony Gibson et al.

EgoBlur: Blurry Egocentric XR Dataset for Robust Fast Hand Pose Estimation

Chae Eun Lee, Anmol Namdev, haeri jang et al.

Dual Focus Multiscale Attention for Object Detection in Mixed Reality: Leveraging Customizable Synthetic Datasets

Salah eddine LAIDOUDI, Madjid MAIDI, Samir Otmane

Effective post-training embedding compression via temperature control in contrastive training

georgiana dinu, Corey Barrett, Yi Xiang et al.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation

Juncheol Shin, Minsang Seok, Seonggon Kim et al.

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

Xichen Guo, Feng Xie, Yan Zeng et al.

Seeing What Matters: Attentional (Mis-)Alignment Between Humans and AI in VR-Simulated Prediction of Driving Accidents

Hoe Sung Ryu, Uijong Ju, Christian Wallraven

The Cost of Virtuality Switching: Searching for Physical and Virtual Targets in Optical-See-Through Augmented Reality

Kangyou Yu, Yunhao Luo, Radha Kumaran et al.

Cross-media Color Appearance Reproduction in Optical See-Through Augmented Reality

Jiahong Luo, Shining Ma, Yue Liu et al.

AtlasD: Automatic Local Symmetry Discovery

Manu Bhat, Jonghyun Park, Jianke Yang et al.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning

Motoki Omura, Kazuki Ota, Takayuki Osa et al.

Fine-Tuning Token-Based Large Multimodal Models: What Works, What Doesn’t and What's Next

Zhulin Hu, Yan Ma, Jiadi Su et al.

Towards Augmented Reality Support for Swarm Monitoring: Evaluating Visual Cues to Prevent Fragmentation

Aymeric Hénard, Etienne Peillard, Jérémy Rivière et al.

Calibrating Video Watch-time Predictions with Credible Prototype Alignment

Chao, Shisong Tang, Fan Li et al.

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

Ruihao Zheng, Zhenkun Wang

From Notation to Gesture: Virtual Conductor Gesture Generation in VR via Structured Score Semantics

Haozhe Ma, Yuxin Shen, Wei Liang et al.

Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks

Jincheng Huang, Yujie Mo, Xiaoshuang Shi et al.

AniDream: Generating Skeleton-Guided Anime Avatars from Text Prompts

Fernanda Miyuki Yamada, Hiroki Takahashi

ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck

Zheng Zhou, Wenquan Feng, Qiaosheng Zhang et al.

HFM-GS: half-face mapping 3DGS avatar based real-time HMD removal

Kangyu Wang, Jian Wu, Runze Fan et al.

Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors

Matei Gabriel Cosa, Marek Elias

Sitting or standing in VR: About Comfort, Conflicts, and Hazards

Daniel Zelasko, Bernhard Riecke

The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models

Zichao Li, Xueru Wen, Jie Lou et al.

Unwinding Rotations Reduces VR Sickness in Nonsimulated Immersive Telepresence

Filip Kulisiewicz, Basak Sakcak, Evan G. Center et al.

Do Vibrotactile-Rendered Virtual Walking Sensations Reduce VR Cybersickness?

Jaewan Lim, Sooyeon Choi, Jimin Ryu et al.

Neck Goes VRrr: Reducing Rotation-Induced Virtual Reality Sickness through Neck Muscle Vibrations

Kun-Woo Song, Sang Ho Yoon

Experiencing Immersive Virtual Nature for Well-Being, Restoration, Performance, and Nature Connectedness: A Scoping Review

Jeewoo Kim, Svara Patel, Hyeongil Nam et al.

The Price of Linear Time: Error Analysis of Structured Kernel Interpolation

Alexander Moreno, Justin Xiao, Jonathan Mei

Can AI Inspire Biophilic Design in Immersive Virtual Reality Workspaces to Enhance Well-being?

Sara Romano, Luana Marangelli, Enricoandrea Laviola et al.

Explore What LLM Does Not Know in Complex Question Answering

Xin Lin, Zhenya Huang, Zhiqiang Zhang et al.

A Machine Learning Approach to Duality in Statistical Physics

Prateek Gupta, Andrea Ferrari, Nabil Iqbal

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

Tomas Tokar, Scott Sanner

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.

VR as a ``Drop-In'' Well-being Tool for Knowledge Workers

Sophia Ppali, Haris Psallidopoulos, Marios Constantinides et al.

Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence

zhaowei chen, Borui Zhao, Yuchen Ge et al.

Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries

Hang Chen, Chufeng Tang, Xiao Li et al.

Cardboard Controller: A Cost-Effective Method to Support Complex Interactions in Mobile VR

Kristen Grinyer, Robert J. Teather

EVER: Edge-Assisted Auto-Verification for Mobile MR-Aided Operation

Jiangong Chen, Mingyu Zhu, Bin Li

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

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

How Accurate is the HoloLens 2? A Robotic Ground-Truth and Sensor Occlusion Evaluation

Bruno Gabriel Cavalcante Lima, Bruno Georgevich Ferreira, Tiago Vieira et al.

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

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

Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity

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

DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance

Liang Sun, Yang Zhang, Weizhao He et al.

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

Tyler Kastner, Mark Rowland, Yunhao Tang et al.

CODE: Confident Ordinary Differential Editing

Bastien Van Delft, Tommaso Martorella, Alexandre Alahi

Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing

Yuan Xin, Dingfan Chen, Michael Backes et al.

Examining Eye Vergence During Perceived Depth Changes with Eye Tracking System in Optical See-Through Augmented Reality

Matthew Sturgeon, Dakota D Kenoyer-Healy, Russell Cohen-Hoffing et al.

Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors

Sungyoon Lee, Sokbae Lee

When One Eye Sees Less: Uncovering Perceptual Thresholds of Asymmetric Quality Degradation in 4K XR Displays

Haechan Lee, Namil Kim, Hoe Sung Ryu et al.

Open Materials Generation with Stochastic Interpolants

Philipp Höllmer, Thomas Egg, Maya Martirossyan et al.

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

Qi Lian, Yu Qi, Yueming Wang

Multimodal Classification of Distraction in VR Learning: A Foundation for Real-Time Adaptation

Nicholas P Fisher, Arun K Kulshreshth

SGSG: Stroke-Guided Scene Graph Generation

Qixiang Ma, Runze Fan, Lizhi Zhao et al.

µnit Scaling: Simple and Scalable FP8 LLM Training

Saaketh Narayan, Abhay Gupta, Mansheej Paul et al.

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

Zhuoran Li, Chunming Hu, Junfan Chen et al.

MeMAD: Structured Memory of Debates for Enhanced Multi-Agent Reasoning

Shuai Ling, Lizi Liao, Dongmei Jiang et al.

MRPilot: A Mixed-Reality System for Responsive Guidance of General Procedural Tasks

Hongliang Yang, Jin Zhou, Pengfei Xu et al.

HyperIV: Real-time Implied Volatility Smoothing

Yongxin Yang, Wenqi Chen, Chao Shu et al.

Attributes Shape the Embedding Space of Face Recognition Models

Pierrick Leroy, Antonio Mastropietro, Marco Nurisso et al.

Siren Song: Acoustic Attacks on Pose Estimation in XR Headsets

Zijian Huang, Yicheng Zhang, Sophie Chen et al.

Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion

KAIJUN LIU, Sijie Ruan, Liang Zhang et al.

Optimal Auction Design in the Joint Advertising

Yang Li, Yuchao Ma, Qi Qi

"Everyone Knows You’re Watching P*rn": Reflecting on First-hand User Accounts on the Use and Public Perception of In-Transit Passenger XR

Katharina Margareta Theresa Pöhlmann, Graham Wilson, Laura Bajorunaite et al.

cLock: Single-Handed Two-Factor Authentication in VR Using Wrist Rotation and Multi-Finger Tapping

Xueyang Wang, Xin Yi, Jiaqi Li et al.

Casual-VRAuth: A Design Framework Bridging Focused and Casual Interactions for Behavioral Authentication in Virtual Reality

Guanyu Ye, BoYu Gao, Huawei Tu

First-Person Vocal Auralisation in XR and Its Influence on Perceived Presence and Audio-Visual Quality

Mauricio Flores-Vargas, Enda Bates, Rachel McDonnell

Sonify Anything: Towards Context-Aware Sonic Interactions in AR

Laura Schütz, Sasan Matinfar, Ulrich Eck et al.

MR-CoCo: An Open Mixed Reality Testbed for Co-located Couple Product Configuration and Decision-Making – A Sailboat Case Study

Fabio Vangi, Daniel Medeiros, Mine Dastan et al.

Defying Gravity: Towards Gravitoinertial Retargeting of Acceleration for Virtual Vertical Motion in In-Car VR

Bocheon Gim, Seongjun Kang, Dohyeon Yeo et al.

Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models

Han Cao, Lingwei Wei, Wei Zhou et al.

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback

Yongqi Li, Xin Miao, Shen Zhou et al.