Most Cited 2025 "geometric framework" Papers

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries

Steven Kolawole, Keshav Santhanam, Virginia Smith et al.

On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study

Riccardo Alberghi, Elizaveta Demyanenko, Luca Biggio et al.

Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations

Dahee Kwon, Sehyun Lee, Jaesik Choi

Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction

Runmin Zhang, Zhu Yu, Si-Yuan Cao et al.

Martingale Posterior Neural Networks for Fast Sequential Decision Making

Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alvaro Cartea et al.

Toward Material-Agnostic System Identification from Videos

Yizhou Zhao, Haoyu Chen, Chunjiang Liu et al.

URLOST: Unsupervised Representation Learning without Stationarity or Topology

Zeyu Yun, Juexiao Zhang, Yann LeCun et al.

Dual Semantic Guidance for Open Vocabulary Semantic Segmentation

ZhengYang Wang, Tingliang Feng, Fan Lyu et al.

Seal Your Backdoor with Variational Defense

Ivan Sabolic, Matej Grcic, Siniša Šegvić

PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation

Ziyan Wang, Sizhe Wei, Xiaoming Huo et al.

Fast Training of Large Kernel Models with Delayed Projections

Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit et al.

RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases

Dongwon Choi, Sunwoo Kim, Juyeon Kim et al.

Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration

Ting Lei, Shaofeng Yin, Qingchao Chen et al.

Beyond Image Classification: A Video Benchmark and Dual-Branch Hybrid Discrimination Framework for Compositional Zero-Shot Learning

Dongyao Jiang, Haodong Jing, Yongqiang Ma et al.

Differentiable extensions with rounding guarantees for combinatorial optimization over permutations

Robert (Riley) Nerem, Zhishang Luo, Akbar Rafiey et al.

Estimating cognitive biases with attention-aware inverse planning

Sounak Banerjee, Daphne Cornelisse, Deepak Gopinath et al.

Locally Connected Echo State Networks for Time Series Forecasting

Filip Matzner, František Mráz

Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization

Frank Röder, Jan Benad, Manfred Eppe et al.

Are Greedy Task Orderings Better Than Random in Continual Linear Regression?

Matan Tsipory, Ran Levinstein, Itay Evron et al.

Revisiting Agnostic Boosting

Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice et al.

Moment Quantization for Video Temporal Grounding

Xiaolong Sun, Le Wang, Sanping Zhou et al.

ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology

Vishwesh Ramanathan, Tony Xu, Pushpak Pati et al.

See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model

Pengteng Li, Pinhao Song, Wuyang Li et al.

Conformal Online Learning of Deep Koopman Linear Embeddings

Ben Gao, Jordan Patracone, Stephane Chretien et al.

Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings

Erel Naor, Ofir Lindenbaum

AstroLoc: Robust Space to Ground Image Localizer

Gabriele Berton, Alex Stoken, Carlo Masone

Revisiting Generative Replay for Class Incremental Object Detection

Shizhou Zhang, Xueqiang Lv, Yinghui Xing et al.

Class-wise Balancing Data Replay for Federated Class-Incremental Learning

Zhuang Qi, Ying-Peng Tang, Lei Meng et al.

STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search

Yuning Qiu, Andong Wang, Chao Li et al.

INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers

Hao Wei, Aleksandra Franz, Björn List et al.

AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes

Tianyi Xu, Fan Zhang, Boxin Shi et al.

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

Danni Yang, Zhikang Chen, Sen Cui et al.

Value-Guided KV Compression for LLMs via Approximated CUR Decomposition

Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty

State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding

Jiahuan Zhou, Kai Zhu, Zhenyu Cui et al.

Concentration and excess risk bounds for imbalanced classification with synthetic oversampling

Touqeer Ahmad, Mohammadreza Mousavi Kalan, François Portier et al.

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing

Kangkang Deng, Jiachen Jin, Jiang Hu et al.

Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs

Xiangcheng Zhang, Yige Hong, Weina Wang

Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings

Haoyu Yao, Bin Yang, Wenke Huang et al.

Generative Distribution Embeddings

Nic Fishman, Gokul Gowri, Peng Yin et al.

An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination

Sukanya Patra, Souhaib Ben Taieb

Exposure-slot: Exposure-centric Representations Learning with Slot-in-Slot Attention for Region-aware Exposure Correction

Donggoo Jung, DAEHYUN KIM, Guanghui Wang 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.

Diffusion-Guided Graph Data Augmentation

Maria Marrium, Arif Mahmood, Muhammad Haris Khan et al.

Edge-aware Image Smoothing with Relative Wavelet Domain Representation

Huiqing Qi, Xiaoliu Luo, Tingting Li et al.

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

Efficient Concertormer for Image Deblurring and Beyond

Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien et al.

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.

Prompt Tuning Transformers for Data Memorization

Haiyu Wang, Yuanyuan Lin

Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack

Nicole Meng, Caleb Manicke, Ronak Sahu 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.

Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework

Hanrui Zhao, Niuniu Qi, Mengxin Ren 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

CheXwhatsApp: A Dataset for Exploring Challenges in the Diagnosis of Chest X-rays through Mobile Devices

Mariamma Antony, Rajiv Porana, Sahil M. Lathiya et al.

Simple and Optimal Sublinear Algorithms for Mean Estimation

Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn et al.

VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information

Zecheng Wang, Chunshan Li, Yupeng Zhang et al.

Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors

Guangyi Zhang, Qiyu Liu, Aristides Gionis

DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region

Jianping Wu

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.

Spherical Epipolar Rectification for Deep Two-View Absolute Depth Estimation

Pierre-André Brousseau, Sébastien Roy

Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor

Maryam Aliakbarpour, Zhan Shi, Ria Stevens 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.

CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning

ao zhou, Jiayi Guan, Li Shen et al.

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.

Mentored Learning: Improving Generalization and Convergence of Student Learner

Xiaofeng Cao, Yaming Guo, Heng Tao Shen 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.

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

Qiang Zou, Shuli Cheng, Jiayi Chen

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.

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

Cathy Jiao, Yijun Pan, Emily Xiao et al.

Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens

Stanislav Fort

MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling

Liang Yin, Xudong Xie, Zhang Li et al.

Sea-ing in Low-light

Nisha Varghese, A. N. Rajagopalan

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.

BNMusic: Blending Environmental Noises into Personalized Music

Chi Zuo, Martin Møller, Pablo Martínez-Nuevo et al.

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

Wanyun Cui, Mingwei Xu

LAL: Enhancing 3D Human Motion Prediction with Latency-aware Auxiliary Learning

Xiaoning Sun, Dong Wei, Huaijiang Sun et al.

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

Remco Leijenaar, Hamidreza Kasaei

EventPSR: Surface Normal and Reflectance Estimation from Photometric Stereo Using an Event Camera

Bohan Yu, Jin Han, Boxin Shi et al.

More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models

Hongkai Lin, Dingkang Liang, Mingyang Du et al.

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

FreeCloth: Free-form Generation Enhances Challenging Clothed Human Modeling

Hang Ye, Xiaoxuan Ma, Hai Ci et al.

Structure-from-Motion with a Non-Parametric Camera Model

Yihan Wang, Linfei Pan, Marc Pollefeys et al.

Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation

Jiyang Zheng, Siqi Pan, Yu Yao et al.

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

Liang Yue, Yihong Tang, Kehai Chen et al.

Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection

Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney et al.

FedIGL: Federated Invariant Graph Learning for Non-IID Graphs

Lingren Wang, Wenxuan Tu, Jiaxin Wang 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

OneGT: One-Shot Geometry-Texture Neural Rendering for Head Avatars

Jinshu Chen, Bingchuan Li, Fan Zhang et al.

SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning

Ren Wang, Haoliang Sun, Yuxiu Lin et al.

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.

Scaling In-the-Wild Training for Diffusion-based Illumination Harmonization and Editing by Imposing Consistent Light Transport

Lvmin Zhang, Anyi Rao, Maneesh Agrawala

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.

Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting

Zinan Zheng, Yang Liu, Jia Li

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.

Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning

Zijian Gao, Wangwang Jia, Xingxing Zhang et al.

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

Yinuo Jiang, Yan Xiaodong, Keyan Ding et al.

Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent

Peter Richtarik, Simone Maria Giancola, Dymitr Lubczyk et al.

Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning

Xiangtao Zhang, Sheng Li, Ao Li 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.

ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling

Xinyu Xiang, Qinglong Yan, HAO ZHANG et al.

Gate to the Vessel: Residual Experts Restore What SAM Overlooks

Weili Jiang, Jinrong Lv, Xun Gong et al.

High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model

Yiyang Shen, Kun Zhou, He Wang et al.

Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks

Julia Nakhleh, Robert Nowak

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.

Sparse components distinguish visual pathways & their alignment to neural networks

Ammar I Marvi, Nancy Kanwisher, Meenakshi Khosla

Continuous Adverse Weather Removal via Degradation-Aware Distillation

Xin Lu, Jie Xiao, Yurui Zhu et al.

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

GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation

Yushi LAN, Shangchen Zhou, Zhaoyang Lyu et al.

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.

LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach

Jinglong Shen, Nan Cheng, Wenchao Xu et al.

Robust Transfer of Safety-Constrained Reinforcement Learning Agents

Markel Zubia, Thiago Simão, Nils Jansen

Fair Matroid Selection

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Danny Mittal

Pessimistic Data Integration for Policy Evaluation

Xiangkun Wu, Ting Li, Gholamali Aminian 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.

pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation

Yifei Zhang, Hao Zhu, Alysa Ziying Tan 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.

Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery

Xiao Han, Saima Absar, Lu Zhang et al.

DAA: Amplifying Unknown Discrepancy for Test-Time Discovery

Tianle Liu, Fan Lyu, Chenggong Ni et al.

AcZeroTS: Active Learning for Zero-shot Tissue Segmentation in Pathology Images

Jiao Tang, Junjie Zhou, Bo Qian et al.

Storyboard-guided Alignment for Fine-grained Video Action Recognition

Enqi Liu, Liyuan Pan, Yan Yang 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

DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement

huang yongshu, Chen Liu, Minghang Zhu et al.

SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs

Junsheng Wang, Nieqing Cao, Yan Ding 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

STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds

Zikuan Li, Honghua Chen, Yuecheng Wang et al.

Boosting Adversarial Transferability via Negative Hessian Trace Regularization

Yunfei Long, Zilin Tian, Liguo Zhang et al.

LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Feng Li, Renrui Zhang, Hao Zhang et al.

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

Hao Luo, Zihao Yue, Wanpeng Zhang et al.

Pretend Benign: A Stealthy Adversarial Attack by Exploiting Vulnerabilities in Cooperative Perception

Hongwei Lin, Dongyu Pan, Qiming Xia et al.

FIFA: Fine-grained Inter-frame Attention for Driver's Video Gaze Estimation

Daosong Hu, Mingyue Cui, Kai Huang

Free Lunch Enhancements for Multi-modal Crowd Counting

Haoliang Meng, Xiaopeng Hong, Zhengqin Lai et al.

ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection

Jiaqi Zhao, Zeyu Ding, Yong Zhou 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.

Shape Abstraction via Marching Differentiable Support Functions

Sunkyung Park, Jeongmin Lee, Dongjun Lee

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

Gangda Deng, Hongkuan Zhou, Rajgopal Kannan et al.

Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching

Paul Roetzer, Viktoria Ehm, Daniel Cremers 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.