Most Cited 2025 "automated modeling" Papers

Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity

Enneng Yang, Anke Tang, Li Shen et al.

Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers

Xin Zhao, Xiaojun Chen, Bingshan Liu et al.

Test-Time Adaptation by Causal Trimming

Yingnan Liu, Rui Qiao, Mong-Li Lee et al.

Size-adaptive Hypothesis Testing for Fairness

Antonio Ferrara, Francesco Cozzi, Alan Perotti et al.

A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning

Xiaoli Tang, Han Yu, Xiaoxiao Li

SALS: Sparse Attention in Latent Space for KV Cache Compression

Junlin Mu, Hantao Huang, Jihang Zhang et al.

Discovering Opinion Intervals from Conflicts in Signed Graphs

Peter Blohm, Florian Chen, Aristides Gionis et al.

SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models

Xiaofan Bai, Shixin Li, Xiaojing Ma et al.

BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation

Yujia Chen, Rui Sun, Wangkai Li et al.

Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing

Manchao Bao, Shengjiang Fang, Tao Yue et al.

Gromov–Wasserstein Problem with Cyclic Symmetry

Shoichiro Takeda, Yasunori Akagi

Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models

Dhruva Karkada, James Simon, Yasaman Bahri et al.

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic

Kanghyun Choi, Hyeyoon Lee, Sunjong Park et al.

Private Evolution Converges

Tomás González Lara, Giulia Fanti, Aaditya Ramdas

Model Editing for Vision Transformers

Xinyi Huang, Kangfei Zhao, Long-Kai Huang

Incentivizing Time-Aware Fairness in Data Sharing

Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Sim et al.

Scalable Policy-Based RL Algorithms for POMDPs

Ameya Anjarlekar, S. Rasoul Etesami, R. Srikant

Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval

Shuang Zhang, Yue Wu, Lei Shi et al.

Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors

Ke Liu, Shangde Gao, Yichao Fu et al.

InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions

Liangjian Wen, Qun Dai, Jianzhuang Liu et al.

Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures

Shuqing Luo, Ye Han, Pingzhi Li et al.

UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes

Yuang Meng, Xin Jin, Lina Lei et al.

CASP: Consistency-aware Audio-induced Saliency Prediction Model for Omnidirectional Video

Zhaolin Wan, Han Qin, Zhiyang Li et al.

A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts

Xuyi He, Yuhui Quan, Ruotao Xu et al.

Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect

Ruiyang Lin, Yongyi Guo, Kyra Gan

TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction

Zhongyi Yu, Jianqiu Wu, Zhenghao Wu et al.

Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention

Zhen Yang, Ziwei Du, Minghan Zhang et al.

Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits

Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski et al.

Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning

Quanjiang Li, Tianxiang Xu, Tingjin Luo et al.

Accelerating Feature Conformal Prediction via Taylor Approximation

Zihao Tang, Boyuan Wang, Chuan Wen et al.

Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models

Yankai Jiang, Peng Zhang, Donglin Yang et al.

Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data

shu chen, HongJun Xu, Ruichi Zhang et al.

A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models

Keyu Tu, Mengqi Huang, Zhuowei Chen et al.

Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection

Litao Li, Leo Song, Steven Ding et al.

Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion

Yan Xu, Yixing Wang, Stella X. Yu

Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion

Haoyu Wang, Le Wang, Sanping Zhou et al.

Private Zeroth-Order Optimization with Public Data

Xuchen Gong, Tian Li

Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality

Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam et al.

On the sample complexity of semi-supervised multi-objective learning

Tobias Wegel, Geelon So, Junhyung Park et al.

GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer

Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit et al.

MaxSup: Overcoming Representation Collapse in Label Smoothing

Yuxuan Zhou, Heng Li, Zhi-Qi Cheng et al.

PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models

Lancheng Zou, Shuo Yin, Zehua Pei et al.

Network two-sample test for block models

Chung Kyong Nguen, Arash Amini, OSCAR HERNAN MADRID PADILLA

Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation

Lucas Morisset, Adrien Hardy, Alain Durmus

Understanding Data Influence in Reinforcement Finetuning

Haoru Tan, Xiuzhe Wu, Sitong Wu et al.

Computational Budget Should Be Considered in Data Selection

Weilin Wan, Weizhong Zhang, Cheng Jin

How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs

Samet Demir, Zafer Dogan

IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants

Vivek Chavan, Yasmina Imgrund, Tung Dao et al.

SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation

Rey Koki, Michael McCabe, Dhruv Kedar et al.

Learning from Interval Targets

Rattana Pukdee, Ziqi Ke, Chirag Gupta

Doppelgängers and Adversarial Vulnerability

George Kamberov

Dimensionality Mismatch Between Brains and Artificial Neural Networks

Santiago Galella, Maren Wehrheim, Matthias Kaschube

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees

Daniel Ovalle, Lorenz Biegler, Ignacio Grossmann et al.

Meta-learning how to Share Credit among Macro-Actions

Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu

Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers

Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki et al.

ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks

Huiri Tan, Juyong Jiang, Jiasi Shen

Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training

Tony Bonnaire, Raphaël Urfin, Giulio Biroli et al.

Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster

Shriram M S, Xinyue Hao, Shihao Hou et al.

SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling

Yizhao Gao, Zhichen Zeng, DaYou Du et al.

Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary

ChuYu Zhou, Tianyu Li, Chenxi Lan et al.

Fast attention mechanisms: a tale of parallelism

Jingwen Liu, Hantao Yu, Clayton Sanford et al.

Matrix-Free Shared Intrinsics Bundle Adjustment

Daniel Safari

The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Experts in a Single Expert Model

Sohini Saha, Mezisashe Ojuba, Leslie Collins et al.

Seeing More with Less: Human-like Representations in Vision Models

Andrey Gizdov, Shimon Ullman, Daniel Harari

MuSLR: Multimodal Symbolic Logical Reasoning

Jundong Xu, Hao Fei, Yuhui Zhang et al.

Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding

Jiaxin Shi, Mingyue Xiang, Hao Sun et al.

Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval

Siyuan Duan, Yuan Sun, Dezhong Peng et al.

SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series

Qitai Tan, Yiyun Chen, Mo Li et al.

Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations

Liviu Aolaritei, Julie Zhu, Oliver Wang et al.

Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints

Jayanta Mandi, Marianne Defresne, Senne Berden et al.

Protocols for Verifying Smooth Strategies in Bandits and Games

Miranda Christ, Daniel Reichman, Jonathan Shafer

A Unified Approach to Submodular Maximization Under Noise

Kshipra Bhawalkar, Yang Cai, Zhe Feng et al.

Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models

JIPENG LI, Yanning Shen

Learning to Solve Complex Problems via Dataset Decomposition

Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi et al.

Radial Attention: $\mathcal O(n \log n)$ Sparse Attention for Long Video Generation

XINGYANG LI, Muyang Li, Tianle Cai et al.

Energy Loss Functions for Physical Systems

Oumar Kaba, Kusha Sareen, Daniel Levy et al.

Learning Partonomic 3D Reconstruction from Image Collections

Xiaoqian Ruan, Pei Yu, Dian Jia et al.

Accelerated Evolving Set Processes for Local PageRank Computation

Binbin Huang, Luo Luo, Yanghua Xiao et al.

SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation

Claudia Cuttano, Gabriele Trivigno, Giuseppe Averta et al.

LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning

Peng Wu, Xiankai Lu, Hao Hu et al.

Compositional Neural Network Verification via Assume-Guarantee Reasoning

Hai Duong, David Shriver, ThanhVu Nguyen et al.

Generating and Checking DNN Verification Proofs

Hai Duong, ThanhVu Nguyen, Matthew Dwyer

Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression

Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu et al.

ReCon-GS: Continuum-Preserved Guassian Streaming for Fast and Compact Reconstruction of Dynamic Scenes

Jiaye Fu, Qiankun Gao, Chengxiang Wen et al.

Orochi: Versatile Biomedical Image Processor

Gaole Dai, Chenghao Zhou, Yu Zhou et al.

Conditional Diffusion Anomaly Modeling on Graphs

Chunyu Wei, Haozhe Lin, Yueguo Chen et al.

A$^3$E: Towards Compositional Model Editing

Hongming Piao, Hao Wang, Dapeng Wu et al.

A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity

Kuat Gazizov, Miguel A. Carreira-Perpinan

Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation

Yangtao Zhou, Hua Chu, chen et al.

Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions

Yanna Ding, Songtao Lu, Yingdong Lu et al.

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting

Haobo Li, Eunseo Jung, Zixin CHEN et al.

$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation

Weilun Feng, Haotong Qin, Chuanguang Yang et al.

Generalizing Experience for Language Agents with Hierarchical MetaFlows

Shengda Fan, Xin Cong, Zhong Zhang et al.

Stratify or Die: Rethinking Data Splits in Image Segmentation

Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller et al.

Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport

Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.

Are Language Models Efficient Reasoners? A Perspective from Logic Programming

Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami et al.

Monoculture or Multiplicity: Which Is It?

Mila Gorecki, Moritz Hardt

A Principled Path to Fitted Distributional Evaluation

Sungee Hong, Jiayi Wang, Zhengling Qi et al.

SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding

chenkai zhang, Yiming Lei, Zeming Liu et al.

Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets

Ji Xia, Yizi Zhang, Shuqi Wang et al.

Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation

Chen YAN, Weina Wang, Lei Ying

Reverse Engineering Human Preferences with Reinforcement Learning

Lisa Alazraki, Yi-Chern Tan, Jon Ander Campos et al.

ELDET: Early-Learning Distillation with Noisy Labels for Object Detection

Dongmin Choi, Sangbin Lee, EungGu Yun et al.

GLVD: Guided Learned Vertex Descent

Pol Caselles RIco, Francesc Moreno-Noguer

OrdShap: Feature Position Importance for Sequential Black-Box Models

Davin Hill, Brian Hill, Aria Masoomi et al.

One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head

Junhao Xia, Haotian Zhu, Shuchao Pang et al.

ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility

Yihang Zhou, Chen Wei, Minghao Sun et al.

Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection

Jiangyi Wang, Na Zhao

Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.

Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking

Hyunseop Kim, Juheon Jeong, Hanul Kim et al.

Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks

Alper KALLE, Théo Rudkiewicz, Mohamed Ouerfelli et al.

Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context

Yijia Dai, Zhaolin Gao, Yahya Sattar et al.

CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing

Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn et al.

Isotropic Noise in Stochastic and Quantum Convex Optimization

Annie Marsden, Liam O'Carroll, Aaron Sidford et al.

Improving Formal Reasoning of Transformer with State Stack

Kechi Zhang, Ge Li, Jia Li et al.

Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction

Shanshan Huang, Haoxuan Li, Chunyuan Zheng et al.

Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals

Qinsi Wang, Jinghan Ke, Hancheng Ye et al.

Autoregressive Sequential Pretraining for Visual Tracking

Shiyi Liang, Yifan Bai, Yihong Gong et al.

Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error

Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos

Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding

Haoran Zhou, Gim Hee Lee

SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation

Enzhi Zhang, Peng Chen, Rui Zhong et al.

T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints

Thomas Eiter, Katsumi Inoue, Nelson Higuera et al.

Emerging Risks from Embodied AI Require Urgent Policy Action

Jared Perlo, Alexander Robey, Fazl Barez et al.

A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging

Yuanye Liu, jinyang liu, Renwei Dian et al.

Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning

Guancheng Wan, Xu Cheng, Run Liu et al.

FracFace: Breaking The Visual Clues—Fractal-Based Privacy-Preserving Face Recognition

Wanying Dai, Beibei Li, Naipeng Dong et al.

Knot So Simple: A Minimalistic Environment for Spatial Reasoning

Zizhao Chen, Yoav Artzi

OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance

Yuhan Yao, Feifei Kou, Lei Shi et al.

FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network

Fangtong Sun, Congyu Li, Ke Yang et al.

Mamba-Reg: Vision Mamba Also Needs Registers

Feng Wang, Jiahao Wang, Sucheng Ren et al.

Optimal Best Arm Identification under Differential Privacy

Marc Jourdan, Achraf Azize

Zero-shot World Models via Search in Memory

Federico Malato, Ville Hautamäki

A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond

Zicheng Hu, Cheng Chen

Spectral Compressive Imaging via Chromaticity-Intensity Decomposition

Xiaodong Wang, Zijun He, Ping Wang et al.

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification

Sebastian Ojeda, Rafael Velasquez, Nicolás Aparicio et al.

UMoE: Unifying Attention and FFN with Shared Experts

Yuanhang Yang, Chaozheng Wang, Jing Li

RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection

Fan Xing, Zhuo Tian, Xuefeng Fan et al.

Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs

Tengyun Ma, Jiaqi Yao, Daojing He et al.

Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning

Xianghua Zeng, Hao Peng, Yicheng Pan et al.

Simple and Efficient Heterogeneous Temporal Graph Neural Network

Yili Wang, Tairan Huang, Changlong He et al.

Provable Meta-Learning with Low-Rank Adaptations

Jacob Block, Sundararajan Srinivasan, Liam Collins et al.

Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights

Ondrej Tybl, Lukas Neumann

Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection

Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou et al.

TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition

Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.

Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models

Xiaowen Cai, Daizong Liu, Xiaoye Qu et al.

Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem

Elvis Dohmatob

Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery

Zhe Zhao, HaiBin Wen, Xianfu Liu et al.

Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks

Longde Huang, Oleksandr Balabanov, Hampus Linander et al.

Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration

Zhang Junyu, Lizhong Ding, MinghongZhang et al.

Fantastic Bugs and Where to Find Them in AI Benchmarks

Sang Truong, Yuheng Tu, Michael Hardy et al.

FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization

Xunzhao Yu

SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography

Nima Hadidi, Jason Chan, Ebrahim Feghhi et al.

Impartial Selection with Predictions

Rethinking PCA Through Duality

Jan Quan, Johan Suykens, Panagiotis Patrinos

OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions

Cheng Luo, Jianghui Wang, Bing Li et al.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix

Ming Wen, Jiaqi Zhu, Yuedong Xu et al.

Generalization Bounds for Rank-sparse Neural Networks

Antoine Ledent, Rodrigo Alves, Yunwen Lei

On Agnostic PAC Learning in the Small Error Regime

Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering

Rongyang Zhang, Yuqing Huang, Chengqiang Lu et al.

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking

Xiangqi Wang, Yue Huang, Yanbo Wang et al.

Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection

Ji Du, Fangwei Hao, Mingyang Yu et al.

MAD: Memory-Augmented Detection of 3D Objects

Ben Agro, Sergio Casas, Patrick Wang et al.

Robust Sampling for Active Statistical Inference

Puheng Li, Tijana Zrnic, Emmanuel Candes

FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges

Kevin Hayes, Micah Goldblum, Vikash Sehwag et al.

Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions

Philip Boeken, Onno Zoeter, Joris Mooij

Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration

Jae Hyeon Park, Joo Hyeon Jeon, Jae Yun Lee et al.

SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation

Zhenjie Mao, Yang Yuhuan, Chaofan Ma et al.

QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution

Zhenwei Zhang, Fanhua Shang, Hongying Liu et al.

CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs

Bowen Gao, Yanwen Huang, Yiqiao Liu et al.

AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation

Wenyu Zhu, Jianhui Wang, Bowen Gao et al.

BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem

Seunghee Ryu, Donghoon Kwon, Seongjin Choi et al.

Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology

Luting Wang, Yinghao Xiang, Hongliang Huang et al.

Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions

Shubo Li, Yizhe Ding, Lingzhou Xue et al.

$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time

Sarthak Kumar Maharana, Saksham Singh Kushwaha, Baoming Zhang et al.

EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models

Andy Bonnetto, Haozhe Qi, Franklin Leong et al.

OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement

Ye Tian, Angela McCarthy, Gabriel Gomide et al.

Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency

Renzhao Liang, Sizhe Xu, Chenggang Xie et al.

PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications

Zilin Shen, Xinyu Luo, Imtiaz Karim et al.

Ridge Boosting is Both Robust and Efficient

David Bruns-Smith, Zhongming Xie, Avi Feller

Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video

Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez et al.

PMNI: Pose-free Multi-view Normal Integration for Reflective and Textureless Surface Reconstruction

Mingzhi Pei, Xu Cao, Xiangyi Wang et al.

DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering

Jiakai Li, Rongzheng Wang, Yizhuo Ma et al.

Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy

Sreevardhan Sirigiri, Christian Hughes, Ian Abraham et al.

Predictive Preference Learning from Human Interventions

Haoyuan Cai, Zhenghao (Mark) Peng, Bolei Zhou

A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning

Daniel Tschernutter, David Diego Castro, Maciej Kasiński

HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild

Valentin Bieri, Marie-Julie Rakotosaona, Keisuke Tateno et al.

Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis

Enze Shi, Pankaj Bhagwat, Zhixian Yang et al.

All-directional Disparity Estimation for Real-world QPD Images

Hongtao Yu, Shaohui Song, Lihu Sun et al.

DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning

Wenxuan Shi, Haochen Tan, Chuqiao Kuang et al.

Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models

Xinran Wang, Jin Du, Azal Khan et al.

VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks

Jinseong Jang, Chunfei Ma, Byeongwon Lee

Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision

Chenshuang Zhang, Kang Zhang, Joon Son Chung et al.

DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images

Ozgur Kara, Harris Nisar, James Rehg

Variational Polya Tree

Lu Xu, Tsai Hor Chan, Lequan Yu et al.

PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection

Long Li, Wanghu Chen, Wencheng Zhang et al.

Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model

Ruiping Liu, Junwei Zheng, Yufan Chen et al.

Absence Bench: Language Models Can’t See What’s Missing

Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore et al.

DyMoDreamer: World Modeling with Dynamic Modulation

Boxuan Zhang, Runqing Wang, Wei Xiao et al.

Flexible Realignment of Language Models

Wenhong Zhu, Ruobing Xie, Weinan Zhang et al.

LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process

Huiyang Shao, Xin Xia, Yuxi Ren et al.