Most Cited 2025 "oral structure reconstruction" Papers
22,274 papers found • Page 100 of 112
Conference
Descent with Misaligned Gradients and Applications to Hidden Convexity
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar et al.
Learning from weak labelers as constraints
Vishwajeet Agrawal, Rattana Pukdee, Nina Balcan et al.
A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
Sheng Xu, Bo Yue, Hongyuan Zha et al.
Oracle efficient truncated statistics
Konstantinos Karatapanis, Vasilis Kontonis, Christos Tzamos
Training Free Guided Flow-Matching with Optimal Control
Luran Wang, Chaoran Cheng, Yizhen Liao et al.
BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
Hao Yuan, wenli ouyang, Changwen Zhang et al.
Pre-training of Foundation Adapters for LLM Fine-tuning
Linh The Nguyen, Dat Quoc Nguyen
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
Atsunobu Kotani, Yi-Ren Ng
Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
Yan Sun, Stanley Kok
Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
Hualin Zhang, Haozhen Zhang, Zhekai Liu et al.
Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD
Ze Peng, Jian Zhang, Yisen Wang et al.
Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher
PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations
Viraj Dhananjaya Bandara Jayasundara Jayasundara Mudiyanselage, Heng Zhao, Demetrio Labate et al.
Extendable and Iterative Structure Learning Strategy for Bayesian Networks
Hamid Kalantari, Russell Greiner, Pouria Ramazi
KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics
Jindou Chen, Jidong Tian, Liang Wu et al.
Models trained with unnormalized density functions: A need for a course correction
Rishal Aggarwal, Daniel Penaherrera, Justin Shao et al.
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models
Didi Zhu, Yibing Song, tao shen et al.
Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
Xiaorui Peng, Yuheng Jia, Fuchao Yang et al.
ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset
Kartik Thakral, Rishabh Ranjan, Akanksha Singh et al.
Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models
Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani et al.
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
Jingbo Sun, Songjun Tu, Qichao Zhang et al.
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
Nikhil Vyas, Depen Morwani, Rosie Zhao et al.
Improving Deep Regression with Tightness
Shihao Zhang, Yuguang Yan, Angela Yao
Understanding Methods for Scalable MCTS
Will Knipe
The impact of allocation strategies in subset learning on the expressive power of neural networks
Ofir Schlisselberg, Ran Darshan
OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework
Junliang Chen, Huaiyuan Xu, Yi Wang et al.
Nonlinear Sequence Embedding by Monotone Variational Inequality
Jonathan Y. Zhou, Yao Xie
Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
Yipei Wang, Xiaoqian Wang
Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching
Renjie Pan, Jihao Dong, Hua Yang
Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks
Wangjia Yu, Xiaomeng Fu, Qiao Li et al.
ProtPainter: Draw or Drag Protein via Topology-guided Diffusion
Zhengxi Lu, Shizhuo Cheng, Yuru Jiang et al.
Redefining the task of Bioactivity Prediction
Yanwen Huang, Bowen Gao, Yinjun JIA et al.
Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs
Bowen Gao, Haichuan Tan, Yanwen Huang et al.
Local Patterns Generalize Better for Novel Anomalies
Yalong Jiang
Model Risk-sensitive Offline Reinforcement Learning
Gwangpyo Yoo, Honguk Woo
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
Ahana Deb, Roberto Cipollone, Anders Jonsson et al.
FIRING-Net: A filtered feature recycling network for speech enhancement
Xinmeng Xu, Yiqun Zhang, Jizhen Li et al.
ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen et al.
Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
Shengju Yu, Zhibin Dong, Siwei Wang et al.
UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
Peiwen Yuan, Shaoxiong Feng, Yiwei Li et al.
UniRestore3D: A Scalable Framework For General Shape Restoration
Yuang Wang, Yujian Zhang, Sida Peng et al.
Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
Hossein Mirzaei Sadeghlou, Mojtaba Nafez, Jafar Habibi et al.
T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning
Nabarun Goswami, Hanqin Wang, Tatsuya Harada
One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
Christina Sartzetaki, Gemma Roig, Cees G Snoek et al.
TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
Tsiry MAYET, Pourya Shamsolmoali, Simon Bernard et al.
One for all and all for one: Efficient computation of partial Wasserstein distances on the line
Laetitia Chapel, Romain Tavenard
Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability
Avrajit Ghosh, Soo Min Kwon, Rongrong Wang et al.
Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning
Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen et al.
On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime
Hengquan Guo, Xin Liu
Bridging the Gap Between f-divergences and Bayes Hilbert Spaces
Linus Lach, Alexander Fottner, Yarema Okhrin
DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks
Wei Liu, Li Yang, Mingxuan Zhao et al.
Revisit the Open Nature of Open Vocabulary Semantic Segmentation
Qiming Huang, Han Hu, Jianbo Jiao
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang, Xiaoming Huo, Hao Wang
Investigating Pattern Neurons in Urban Time Series Forecasting
Chengxin Wang, Yiran Zhao, shaofeng cai et al.
Wayward Concepts In Multimodal Models
Brandon Trabucco, Max Gurinas, Kyle Doherty et al.
Can Watermarks be Used to Detect LLM IP Infringement For Free?
Zhengyue Zhao, Xiaogeng Liu, Somesh Jha et al.
Learning Diagrams: A Graphical Language for Compositional Training Regimes
Mason Lary, Richard Samuelson, Alexander Wilentz et al.
GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment
Aishwarya Jayagopal, Yanrong Zhang, Robert Walsh et al.
Provably Safeguarding a Classifier from OOD and Adversarial Samples
Nicolas Atienza, Johanne Cohen, Christophe Labreuche et al.
On the Fourier analysis in the SO(3) space : the EquiLoPO Network
Dmitrii Zhemchuzhnikov, Sergei Grudinin
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
Mengjing Wu, Junyu Xuan, Jie Lu
Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
Jason Piquenot, Maxime Berar, Romain Raveaux et al.
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
Hai Zhang, Boyuan Zheng, Tianying Ji et al.
A Visual Dive into Conditional Flow Matching
Anne Gagneux, Ségolène Martin, Rémi Emonet et al.
Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks
Zixuan Xiong, Guangwei Xu, wenkai zhang et al.
Enhancing Vision-Language Model with Unmasked Token Alignment
Hongsheng Li, Jihao Liu, Boxiao Liu et al.
Making Transformer Decoders Better Differentiable Indexers
Wuchao Li, Kai Zheng, Defu Lian et al.
K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models
Jaehyung Seo, Heuiseok Lim
AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
Wei Dai, Jicong Fan
VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems
Xudong Gong, Feng Dawei, Kele Xu et al.
Scaling Laws for Downstream Task Performance in Machine Translation
Berivan Isik, NATALIA PONOMAREVA, Hussein Hazimeh et al.
LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
Jiani Huang, Ziyang Li, Mayur Naik et al.
Grounding Multimodal Large Language Model in GUI World
Weixian Lei, Difei Gao, Mike Zheng Shou
Learning View-invariant World Models for Visual Robotic Manipulation
Jing-Cheng Pang, Nan Tang, Kaiyuan Li et al.
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
Wen Wen, Han Li, Tieliang Gong et al.
Restating the Proof of Linear Convergence for Linear GNNs
Huayi Tang, Yuhe Guo, Yong Liu et al.
Efficient Cross-Episode Meta-RL
Gresa Shala, André Biedenkapp, Pierre Krack et al.
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
Jinbiao Chen, Zhiguang Cao, Jiahai Wang et al.
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
Jinbiao Chen, Jiahai Wang, Zhiguang Cao et al.
RB-Modulation: Training-Free Stylization using Reference-Based Modulation
Litu Rout, Yujia Chen, Nataniel Ruiz et al.
Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation
Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong et al.
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi, Jayaram Raghuram, Yixuan Li et al.
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
Kehua Feng, Keyan Ding, Jing Yu et al.
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning
Chongjie Si, Zhiyi Shi, Shifan Zhang et al.
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin, Dai Shi, Andi Han et al.
DINOv2: Learning Robust Visual Features without Supervision
Pierre Fernandez, Piotr Bojanowski, Gabriel Synnaeve et al.
Addressing Label Shift in Distributed Learning via Entropy Regularization
Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao et al.
Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
Shihong Song, Guanlin Mo, Hu Ding
To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
Wanlin Zhang, Weichen Lin, Ruomin Huang et al.
Tractable Multi-Agent Reinforcement Learning through Behavioral Economics
Eric Mazumdar, Kishan Panaganti, Laixi Shi
Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models
Alexandre Variengien, Eric Winsor
Positional Embeddings in Transformer Models: Evolution from Text to Vision Domains
Abhinav Kumar, Adesh Gupta, Shivank Garg et al.
Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting
Qi Li, Zhenyu Zhang, Lei Yao et al.
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang, Quanwei Wang, Chenghao Li et al.
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models
Yuchen Yuchen, Xiangzhong Fang, Hanting Chen et al.
BBCaL: Black-box Backdoor Detection under the Causality Lens
Zihan Guan, Junfeng Guo, Mengxuan Hu et al.
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Giseung Park, Youngchul Sung
SPD Attack - Prevention of AI Powered Image Editing by Image Immunization
Parth Badgujar, Shorya Singhal, Devansh Bhardwaj
Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
Yudong Chen, Xuwei Xu, Frank de Hoog et al.
Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization
Xingyu Jiang, Ning Gao, Xiuhui Zhang et al.
Hybrid Regularization Improves Diffusion-based Inverse Problem Solving
Hongkun Dou, Zeyu Li, Jinyang Du et al.
HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
Minjae Jeong, Yechan Hwang, Jaejin Lee et al.
Logic-Logit: A Logic-Based Approach to Choice Modeling
Shuhan Zhang, Wendi Ren, Shuang Li
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
Shuangqi Li, Hieu Le, Jingyi Xu et al.
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
Kaiyan Zhang, Jiayuan Zhang, Haoxin Li et al.
NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields
Hanqiao Ye, Yuzhou Liu, Yangdong Liu et al.
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
Khyathi Chandu, Linjie Li, Anas Awadalla et al.
W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
Shang Wang
Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
HyunKyu Lee, Sung Whan Yoon
Can One Modality Model Synergize Training of Other Modality Models?
Jae-Jun Lee, Sung Whan Yoon
Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
Brent Wallace, Jennie Si
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
Shih-Hsin Wang, Yuhao Huang, Justin Baker et al.
VideoGLUE: Video General Understanding Evaluation of Foundation Models
Boqing Gong, Yin Cui, Long Zhao et al.
A Stochastic Approach to the Subset Selection Problem via Mirror Descent
Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat et al.
Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos
Yufan Zhou, Zhaobo Qi, Lingshuai Lin et al.
Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images
Canfer Akbulut, Kevin Robinson, Maribeth Rauh et al.
Scaling Long Context Training Data by Long-Distance Referrals
Yonghao Zhuang, Lanxiang Hu, Longfei Yun et al.
Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Avoid Overclaims: Summary of Complexity Bounds for Algorithms in Minimization and Minimax Optimization
Siqi Zhang, Yifan Hu
Multi-Label Node Classification with Label Influence Propagation
Yifei Sun, Zemin Liu, Bryan Hooi et al.
Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents
Hao Bai, Yifei Zhou, Li Li et al.
On LLM Knowledge Distillation - A Comparison between Forward KL and Reverse KL
Yihan Cao, Yanbin Kang
ODE-based Smoothing Neural Network for Reinforcement Learning Tasks
Yinuo Wang, Wenxuan Wang, Xujie Song et al.
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
Shaorong Chen, Jun Xia, Jingbo Zhou et al.
Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension
Huanjian Zhou, Lingxiao Huang, Baoxiang Wang
BenTo: Benchmark Reduction with In-Context Transferability
Hongyu Zhao, Ming Li, Lichao Sun et al.
Enhancing Prediction Performance through Influence Measure
Shuguang Yu, Wenqian Xu, Xinyi Zhou et al.
N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning
Liping Wang, Xujia Li, Jingshu Peng et al.
DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement
Yichong Xia, Yimin Zhou, Jinpeng Wang et al.
Learning LLM-as-a-Judge for Preference Alignment
Ziyi Ye, Xiangsheng Li, Qiuchi Li et al.
From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
Zhaojing Wen, Qiulin Zhang, Yuan Zhang et al.
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
Lin Zhu, Xinbing Wang, Chenghu Zhou et al.
When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
Zhenchang Xing, Yang Liu, Zhuo Cheng et al.
Asymmetric Factorized Bilinear Operation for Vision Transformer
Junjie Wu, Qilong Wang, Jiangtao Xie et al.
A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
Shulan Zhu, Chenglong Bao, Defeng Sun et al.
A Benchmark for Semantic Sensitive Information in LLMs Outputs
Qingjie Zhang, Han Qiu, Di Wang et al.
Lipschitz Bandits in Optimal Space
Xiaoyi Zhu, Zengfeng Huang
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
Shuang Liu, Yihan Wang, Yifan Zhu et al.
GROOT-2: Weakly Supervised Multimodal Instruction Following Agents
Shaofei Cai, Bowei Zhang, Zihao Wang et al.
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
Zhihai Wang, Jie Wang, Xilin Xia et al.
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
Yinqi Bai, Jie Wang, Lei Chen et al.
Gyrogroup Batch Normalization
Ziheng Chen, Yue Song, Xiaojun Wu et al.
GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
Zihui Zhang, Yafei YANG, Hongtao Wen et al.
LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
Zijie Geng, Jie Wang, Ziyan Liu et al.
Differentiable Integer Linear Programming
Zijie Geng, Jie Wang, Xijun Li et al.
Accelerating Neural ODEs: A Variational Formulation-based Approach
Hongjue Zhao, Yuchen Wang, Hairong Qi et al.
Why RoPE Struggles to Maintain Long-Term Decay in Long Sequences?
Wei Shen, Chao Yin, Yuliang Liu et al.
Neuralized Markov Random Field for Interaction-Aware Stochastic Human Trajectory Prediction
Zilin Fang, David Hsu, Gim H Lee
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
Yongxian Wei, Zixuan Hu, Li Shen et al.
Towards counterfactual fairness through auxiliary variables
Bowei Tian, Ziyao Wang, Shwai He et al.
Cauchy-Schwarz Regularizers
Sueda Taner, Ziyi Wang, Christoph Studer
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
Yuqian Fu, Yuanheng Zhu, Jian Zhao et al.
Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning
Zijian Guo, Weichao Zhou, Shengao Wang et al.
Discriminator-Guided Embodied Planning for LLM Agent
Haofu Qian, Chenjia Bai, Jiatao Zhang et al.
Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization
XiaoHua Feng, Yuyuan Li, Chaochao Chen et al.
Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection
Guojin Zhong, pan wang, Jin Yuan et al.
VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words?
Xize Cheng, Ruofan Hu, Xiaoda Yang et al.
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
Jiamu Zheng, Jinghuai Zhang, Tianyu Du et al.
Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
Tongzhou Liao, Barnabás Póczos
Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension
Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo et al.
Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches
Itsumi Saito, Haruto Yoshida, Keisuke Sakaguchi
BP-Modified Local Loss for Efficient Training of Deep Neural Networks
REN Lianhai, Qianxiao Li
Improving Neural Network Accuracy by Concurrently Training with a Twin Network
Benjamin Vandersmissen, Lucas Deckers, Jose Oramas
Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli, Bernardo Grau
Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold
Sixin Zhang
Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy
Zhenghai Xue, Bo An, Shuicheng YAN
Training One-Dimensional Graph Neural Networks is NP-Hard
Robert Ganian, Mathis Rocton, Simon Wietheger
Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
Tehila Dahan, Kfir Y Levy
Reexamining the Aleatoric and Epistemic Uncertainty Dichotomy
Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
Tal Wagner
Multi-LLM-Agents Debate - Performance, Efficiency, and Scaling Challenges
Hangfan Zhang, Zhiyao Cui, Qiaosheng Zhang et al.
RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning
Qianlan Yang, Yu-Xiong Wang
Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
Alaa Khaddaj, Logan Engstrom, Aleksander Madry
Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness
Xianglu Wang, Hu Ding
Can LLM Simulations Truly Reflect Humanity? A Deep Dive
Qian Wang, Zhenheng Tang, Bingsheng He
Multi-objective antibody design with constrained preference optimization
Milong Ren, ZaiKai He, Haicang Zhang
Linear SCM Identification in the Presence of Confounders and Gaussian Noise
Vahideh Sanjaroonpouri, Pouria Ramazi
Dynamic Eyebox Steering for Improved Pinlight AR Near-eye Displays
Xinxing Xia, Zheye Yu, Dongyu Qiu et al.
Multi-illumination-interfered Neural Holography with Expanded Eyebox
Xinxing Xia, Pengfei Mi, Yiqing Tao et al.
A Handheld Stiffness Display with a Programmable Spring and Electrostatic Clutches for Haptic Interaction in Virtual Reality
Ke Shi, Quan Xiong, Maozeng Zhang et al.
Virtual Roomie: Immersive Layout Co-design with a Virtual Agent
Angela L. Jimenez, Pedro Acevedo, Christos Mousas
HAT Swapping: Virtual Agents as Stand-ins for Absent Human Instructors in Virtual Training
Jingjing Zhang, Binyang Han, Ze Dong et al.
Laughing Together: A Pilot Study on the Role of Virtual Agents in Emotional Contagion, Conformity, and Opinion Shaping in a Virtual Stand-Up Comedy Club
Similde Mair, Fariba Mostajeran, Joan Llobera et al.
Enhanced Velocity Field Modeling for Gaussian Video Reconstruction
Zhenyang Li, Xiaoyang Bai, Tongchen Zhang et al.
Real-Time Physically-Based Relighting and Composition of Radiance Fields with Proxy Meshes
Yang Xu, Jinyang Bo, Junfeng Wang et al.
Parameter-Free Neural Lens Blur Rendering for High-Fidelity Composites
Lingyan Ruan, Bin Chen, Taehyun James Rhee
A Multi-Sensor Approach for Cognitive Load Assessment in Mobile Augmented Reality
Martin Pluisch, Jan Gugenheimer, Youngjun Cho et al.
Measuring Rotational Inertia in HMDs: Calculation of Torque as an Unobtrusive Indicator of Expended Effort in Virtual Environments
Jared Van Dam, Matt Werner, Kyle Tanous et al.
Augmented Reality Visualization Techniques for Search and Rescue: Findings from a User Study with Subject Matter Experts
Kelsey Quinn, Joseph L Gabbard, Enricoandrea Laviola et al.
Automated Scalable Brightness and Black Offset Seamlessness for Multi-Projector Displays
Ranga Sai Shreyas Manchikanti, Aditi Majumder
Enhancing Pseudo-Haptics on the Hand by Viewpoint Shifts in VR
Riku Watanabe, Mitsuru Ito, Akifumi Takahashi et al.
ThumbShift: Modulating Perceived Object Properties through Dynamic Thumb Repositioning
Jian Zhang, Gavin Buckingham, Wafa Johal et al.
Design and Evaluation of Pseudo-Haptic Techniques for Simulating Surface Stickiness in VR
Yutaro Hirao, Céleste Bourse, Koki Hori et al.
The Effect of Realism on Hand Redirection in Immersive Environments
Shuqi Liao, Yuqi Zhou, Voicu Popescu
TouchWalker: Real-Time Avatar Locomotion from Touchscreen Finger Walking
Geuntae Park, Jiwon Yi, Taehyun James Rhee et al.
Big Frog Vibes: Jumping Superhuman Distances Forward, Vertically and Sideways in VR Using Comfortably High Translational Gain
Graham Wilson, Harvey Russell, Joseph O'Hagan et al.
Isometric and Elastic Balance Boards for Virtual Reality Locomotion
Michael Nelson, Christos Mousas
Exploring Pointing and Confirmation Techniques for Teleportation Across Varying Elevations in Virtual Reality
Bakdauren Narbayev, A K M Amanat Ullah, Jaisie Sin et al.
An Evaluation of Movement Data Analysis Techniques for Virtual Reality
Alice Guth, Jessica J Good, Eugy Han et al.
XR Reality Check: What Commercial Devices Deliver for Spatial Tracking
Tianyi Hu, Tianyuan Du, Zhehan Qu et al.