Most Cited 2025 "differentiable splatting renderer" Papers

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.

Prior-free 3D Object Tracking

Xiuqiang Song, Li Jin, Zhengxian Zhang et al.

CLEAR: Command Level Annotated Dataset for Ransomware Detection

Barak Bringoltz, Elisha Halperin, Ran Feraru et al.

Conical Visual Concentration for Efficient Large Vision-Language Models

Long Xing, Qidong Huang, Xiaoyi Dong et al.

Selective Omniprediction and Fair Abstention

Sílvia Casacuberta, Varun Kanade

Optimal Regret of Bandits under Differential Privacy

Achraf Azize, Yulian Wu, Junya Honda et al.

Functional data analysis for multivariate distributions through Wasserstein slicing

Han Chen, Hans-Georg Müller

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

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.

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

Jing Wang, Wonho Bae, Jiahong Chen et al.

Feature-Preserving Mesh Decimation for Normal Integration

Moritz Heep, Sven Behnke, Eduard Zell

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.

Non-Uniform Multiclass Learning with Bandit Feedback

Steve Hanneke, Amirreza Shaeiri, Hongao Wang

Adaptively Coordinating with Novel Partners via Learned Latent Strategies

Benjamin Li, Shuyang Shi, Lucia Romero et al.

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.

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

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

Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models

Benjamin Ramtoula, Pierre-Yves Lajoie, Paul Newman et al.

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

Mirela Ostrek, Michael Black, Justus Thies

Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming

Zhao Song, Jianfei Xue, Lichen Zhang

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

Jiahui Wang, Haiyue Zhu, Haoren Guo 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

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.

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.

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.

LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks

Di Jin, Yuxiang Zhang, Bingdao Feng et al.

GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization

Shangshu Yu, Wen Li, Xiaotian Sun et al.

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering

Ruimeng Liu, Xin Zou, Chang Tang et al.

SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection

Xin Lin, Chong Shi, Zuopeng Yang et al.

Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data

Xingyu Ren, Pengwei Liu, Pengkai Wang et al.

Learning with Noisy Triplet Correspondence for Composed Image Retrieval

Shuxian Li, Changhao He, XitingLiu et al.

MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes

Jin Zhang, Ruiheng Zhang, Zhe Cao et al.

DeltaFormer: Unlock the state space of Transformer

Mingyu Xu, Tenglong Ao, Jiaao He et al.

Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics

Tahira Kazimi, Ritika Allada, Pinar Yanardag

Entropy-Calibrated Label Distribution Learning

Yunan Lu, Bowen Xue, Xiuyi Jia et al.

Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment

Chen Liu, Wenfang Yao, Kejing Yin et al.

The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity

Ethan Hsu, Tony Cao, Lesia Semenova et al.

Let's Verify and Reinforce Image Generation Step by Step

Renrui Zhang, Chengzhuo Tong, Zhizheng Zhao et al.

AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models

Xize Cheng, Dongjie Fu, Chenyuhao Wen et al.

Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations

Da Ma, Gonghu Shang, Zhi Chen et al.

EVPGS: Enhanced View Prior Guidance for Splatting-based Extrapolated View Synthesis

Jiahe Li, Feiyu Wang, Xiaochao Qu et al.

Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching

Jing Zuo, Jiaqi Wang, Yonggang Qi et al.

Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer

Xuelin Shen, Quan Liu, Jiayin Xu et al.

Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models

Jie Zhao, Kang Cheong

Detecting Open World Objects via Partial Attribute Assignment

Muli Yang, Gabriel James Goenawan, Huaiyuan Qin et al.

A Hierarchy of Graphical Models for Counterfactual Inferences

Hongshuo Yang, Elias Bareinboim

Counterfactual Image Editing with Disentangled Causal Latent Space

Yushu Pan, Elias Bareinboim

Smooth Quadratic Prediction Markets

Enrique Nueve, Bo Waggoner

Siegel Neural Networks

Xuan Son Nguyen, Aymeric Histace, Nistor Grozavu

PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series

Xinghong Chen, Weilin Wu, Kunping Yang et al.

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules

Yueqi Zhang, Peiwen Yuan, Yiwei Li et al.

Contextual Tokenization for Graph Inverted Indices

Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti et al.

Multi-Objective One-Shot Pruning for Large Language Models

Weiyu Chen, Hansi Yang, Yunhao Gou et al.

SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval

Jiahang Zhang, Lilang Lin, Shuai Yang et al.

ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning

Hritam Basak, Zhaozheng Yin

Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning

Sid Bharthulwar, Stone Tao, Hao Su

Online Strategic Classification With Noise and Partial Feedback

Tianrun Zhao, Xiaojie Mao, Yong Liang

Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models

Tomas Soucek, Sylvestre-Alvise Rebuffi, Pierre Fernandez et al.

Generative Distribution Embeddings

Nic Fishman, Gokul Gowri, Peng Yin et al.

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

Xinran Yang, Donghao Ji, Yuanqi Li et al.

Beyond Last-Click: An Optimal Mechanism for Ad Attribution

Nan An, Weian Li, Qi Qi et al.

Sampled Estimators For Softmax Must Be Biased

Li-Chung Lin, Yaxu Liu, Chih-Jen Lin

Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models

Yuanxi Yu, Fan Jiang, Xinzhu Ma et al.

When and how can inexact generative models still sample from the data manifold?

Nisha Chandramoorthy, Adriaan de Clercq

PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors

Hilal Asi, Vitaly Feldman, Hannah Keller et al.

Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting

DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting

Moonsoo Jeong, Dongbeen Kim, Minseong Kim et al.

Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality

Mincheol Park, Heeji Won, Won Woo Ro et al.

CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates

Tianyu Chen, Vansh Bansal, James Scott

Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion

Senyu Hou, Yuru Ren, Gaoxia Jiang et al.

Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control

Ming Cheng, Hao Chen, Zhiqing Li et al.

Correcting misinterpretations of additive models

Benedict Clark, Rick Wilming, Hjalmar Schulz et al.

BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction

Amitay Sicherman, Kira Radinsky

FedEL: Federated Elastic Learning for Heterogeneous Devices

Letian Zhang, Bo Chen, Jieming Bian et al.

E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis

Zhisheng Zhang, Derui Wang, Yifan Mi et al.

Dynamic Shadow Unveils Invisible Semantics for Video Outpainting

Ruilin Li, Hang Yu, Jiayan Qiu

Simple and Optimal Sublinear Algorithms for Mean Estimation

Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn et al.

Improved Algorithms for Fair Matroid Submodular Maximization

Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski

Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs

Yaming Yang, Ziyu Zheng, Weigang Lu et al.

Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

Qihe Huang, Zhengyang Zhou, Yangze Li et al.

PromptHash: Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval

Qiang Zou, Shuli Cheng, Jiayi Chen

L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias

jingxiao zhang, Shifei Ding, Jian Zhang et al.

DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization

Yunseon Choi, Minchan Jeong, Soobin Um et al.

Finite-Time Bounds for Average-Reward Fitted Q-Iteration

Jongmin Lee, Ernest Ryu

Clustering via Hedonic Games: New Concepts and Algorithms

Gergely Csáji, Alexander Gundert, Jörg Rothe et al.

DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces

Tianshuo Zhang, Li Gao, Siran Peng et al.

vHector and HeisenVec: Scalable Vector Graphics Generation Through Large Language Models

Leonardo Zini, Elia Frigieri, Sebastiano Aloscari et al.

On Logic-based Self-Explainable Graph Neural Networks

Alessio Ragno, Marc Plantevit, Céline Robardet

DictPFL: Efficient and Private Federated Learning on Encrypted Gradients

Jiaqi Xue, Mayank Kumar, Yuzhang Shang et al.

The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective

Thai-Hoang Pham, Jiayuan Chen, Seungyeon Lee et al.

GOATex: Geometry & Occlusion-Aware Texturing

Hyunjin Kim, Kunho Kim, Adam Lee et al.

Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields

Weiyi Xue, Fan Lu, Yunwei Zhu et al.

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing

Qingzhu Zhang, Jiani Zhong, Zongsheng Li et al.

CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming

Han Deng, Yuan Meng, SHIXIANG TANG et al.

PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling

Andrea Bonfanti, Ismael Medina, Roman List et al.

FuncGenFoil: Airfoil Generation and Editing Model in Function Space

Jinouwen Zhang, Junjie Ren, Ma Qianhong et al.

FreeCloth: Free-form Generation Enhances Challenging Clothed Human Modeling

Hang Ye, Xiaoxuan Ma, Hai Ci et al.

Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification

Yuanfan Li, Yunwen Lei, Zheng-Chu Guo et al.

Each Complexity Deserves a Pruning Policy

Hanshi Wang, Yuhao Xu, Zekun Xu et al.

Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead

Aiden Chang, Celso de Melo, Stephanie Lukin

RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes

Fang Li, Hao Zhang, Narendra Ahuja

Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models

Jun Ling, Yao Qi, Tao Huang et al.

Which Algorithms Have Tight Generalization Bounds?

Michael Gastpar, Ido Nachum, Jonathan Shafer et al.

Ultra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling

Nan Sun, LuYu Yuan, Han Fang et al.

Enhancing Consistency of Flow-Based Image Editing through Kalman Control

Haozhe Chi, Zhicheng Sun, Yang Jin et al.

Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation

Wen-Bo Du, Tian Qin, Tian-Zuo Wang et al.

Multi-View Oriented GPLVM: Expressiveness and Efficiency

Zi Yang, Ying Li, Zhidi Lin et al.

Elastic ViTs from Pretrained Models without Retraining

Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.

DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models

Cathy Jiao, Yijun Pan, Emily Xiao et al.

Prior Forgetting and In-Context Overfitting

Sungyoon Lee

OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models

Boyang Peng, Sanqing Qu, Tianpei Zou et al.

SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision

Yiyang Gu, Bohan Wu, Qinghua Ran et al.

Free Lunch Enhancements for Multi-modal Crowd Counting

Haoliang Meng, Xiaopeng Hong, Zhengqin Lai et al.

Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs

Wanyun Cui, Mingwei Xu

Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning

Remco Leijenaar, Hamidreza Kasaei

Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing

Tianfang Zhu, Dongli Hu, Jiandong Zhou et al.

Stackelberg Learning with Outcome-based Payment

Tom Yan, Chicheng Zhang

Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors

Yuwu Lu, Chunzhi Liu

Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning

Ezgi Korkmaz

ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot Learning

Haoyuan Yang, Xiaoou Li, Jiaming Lv et al.

MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching

Liang Yue, Yihong Tang, Kehai Chen et al.

DeCaFlow: A deconfounding causal generative model

Alejandro Almodóvar, Adrián Javaloy, Juan Parras et al.

Disentangled Representation Learning via Modular Compositional Bias

whie jung, Dong Hoon Lee, Seunghoon Hong

The Price of Opportunity Fairness in Matroid Allocation Problems

Rémi Castera, Felipe Garrido-Lucero, Patrick Loiseau et al.

Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design

Rubo Wang, Xingyu Gao, Peilin Zhao

Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation

Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh et al.

Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems

Sayantan Choudhury, Nicolas Loizou

MobileODE: An Extra Lightweight Network

Le Yu, Jun Wu, Bo Gou et al.

Purest Quantum State Identification

Yingqi Yu, Honglin Chen, Jun Wu et al.

Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment

Hua Ye, Hang Ding, Siyuan Chen et al.

Principled Model Routing for Unknown Mixtures of Source Domains

Christoph Dann, Yishay Mansour, Teodor Vanislavov Marinov et al.

The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control

Yichen Wang, Yudong Chen, Lorenzo Rosasco et al.

Objective Soups: Multilingual Multi-Task Modeling for Speech Processing

A F M Saif, Lisha Chen, Xiaodong Cui et al.

DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection

Changhan Liu, xunzhi xiang, Zixuan Duan et al.

HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts

Yinuo Jiang, Yan Xiaodong, Keyan Ding et al.

A Dataset for Semantic Segmentation in the Presence of Unknowns

Zakaria Laskar, Tomas Vojir, Matej Grcic et al.

Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks

Hongzhi Wang, Xiubo Liang, Jinxing Han et al.

TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model

Yichen Liu, Yan Lin, Shengnan Guo et al.

Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition

Pei Peng, Ming-Kun Xie, Hang Hao et al.

Gate to the Vessel: Residual Experts Restore What SAM Overlooks

Weili Jiang, Jinrong Lv, Xun Gong et al.

A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction

Di Wen, Yu Wang, Zhigang Wu et al.

CHASM: Unveiling Covert Advertisements on Chinese Social Media

Jingyi Zheng, Tianyi Hu, Yule Liu et al.

ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling

Shuyuan Zhang, ChenHan Jiang, Zuoou Li et al.

Locally Orderless Images for Optimization in Differentiable Rendering

Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi

What do you know? Bayesian knowledge inference for navigating agents

Matthias Schultheis, Jana-Sophie Schönfeld, Constantin Rothkopf et al.

Empowering Decision Trees via Shape Function Branching

Nakul Upadhya, Eldan Cohen

To Think or Not To Think: A Study of Thinking in Rule-Based Visual Reinforcement Fine-Tuning

Ming Li, Jike Zhong, Shitian Zhao et al.

Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting

Yiren Lu, Yunlai Zhou, Yiran Qiao et al.

Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity

Kevin Aydin, Honghao Lin, David Woodruff et al.

Style-Editor: Text-driven Object-centric Style Editing

Jihun Park, Jongmin Gim, Kyoungmin Lee et al.

Does Representation Guarantee Welfare?

Jakob de Raaij, Ariel Procaccia, Alexandros Psomas

BlurDM: A Blur Diffusion Model for Image Deblurring

Jin-Ting He, Fu-Jen Tsai, Yan-Tsung Peng et al.

Multi-Agent Reinforcement Learning with Communication-Constrained Priors

Guang Yang, Jingwen Qiao, Tianpei Yang et al.

Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph

Gautam Kamath, Alireza F. Pour, Matthew Regehr et al.

Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming

Yinxu Tang, Stylianos Loukas Vasileiou, Vincent Derkinderen et al.

A Beyond-Worst-Case Analysis of Greedy k-means++

Qingyun Chen, Sungjin Im, Ben Moseley et al.

Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification

Jingyuan Zhang, Xin Wang, Lei Yu et al.

DAA: Amplifying Unknown Discrepancy for Test-Time Discovery

Tianle Liu, Fan Lyu, Chenggong Ni et al.

GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility

Matthew Fahrbach, Srikumar Ramalingam, Morteza Zadimoghaddam et al.

Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace

Dexin Duan, Rui Xu, Peilin Liu et al.

Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation

Shiyuan Yin, Chenjia Bai, Zihao Zhang et al.

Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree

Xingbo Du, Ruizhe Zhong, Junchi Yan

MVDoppler-Pose: Multi-Modal Multi-View mmWave Sensing for Long-Distance Self-Occluded Human Walking Pose Estimation

Jae-Ho Choi, Soheil Hor, Shubo Yang et al.

Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes

Wei Wu, Xuan Tan, Yan Peng et al.

KScope: A Framework for Characterizing the Knowledge Status of Language Models

Yuxin Xiao, Shan Chen, Jack Gallifant et al.

From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards

Liad Erez, Tomer Koren

ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate

Ming Yan, Xincheng Lin, Yuhua Luo et al.

OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data

Hao Luo, Zihao Yue, Wanpeng Zhang et al.

DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis

Ziyin Zeng, Mingyue Dong, Jian Zhou et al.

Feature Selection for Latent Factor Models

Rittwika Kansabanik, Adrian Barbu

Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic

Jianwei Tang, Hong Yang, Tengyue Chen et al.

Where Does It Exist from the Low-Altitude: Spatial Aerial Video Grounding

Yang Zhan, Yuan Yuan

Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model

Haoxin Sun, Yubo Sun, Xiaotian Zhou et al.

Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions

Quanyuan Ruan, Jiabao Lei, Wenhao Yuan et al.

Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants

Gangda Deng, Hongkuan Zhou, Rajgopal Kannan et al.

Low-Biased General Annotated Dataset Generation

Dengyang Jiang, Haoyu Wang, Lei Zhang et al.

Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting

Jiahui Zhang, Zhengyang Zhou, Wenjie Du et al.

Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting

Kangjie Chen, Yingji Zhong, Zhihao Li et al.

Learning Task-Agnostic Representations through Multi-Teacher Distillation

Philippe Formont, Maxime Darrin, Banafsheh Karimian et al.

Efficient Representativeness-Aware Coreset Selection

Zihao Cheng, Binrui Wu, Zhiwei Li et al.

Scalable Signature Kernel Computations via Local Neumann Series Expansions

Matthew Tamayo-Rios, Alexander Schell, Rima Alaifari

Quantum Visual Fields with Neural Amplitude Encoding

Shuteng Wang, Christian Theobalt, Vladislav Golyanik

Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward

Xumai Qi, Dongdong Zhang, Taotao Liu et al.

Inverse Methods for Missing Data Imputation

Hao Wang, zhengnan li, Zhichao Chen et al.