Most Cited 2025 "numerical tracking" Papers
22,274 papers found • Page 81 of 112
Conference
Tree-NeRV: Efficient Non-Uniform Sampling for Neural Video Representation via Tree-Structured Feature Grids
Jiancheng Zhao, Yifan Zhan, Qingtian Zhu et al.
Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
Sangho Lee, Kyeongseo Min, Youngdoo Son et al.
OligoGym: Curated Datasets and Benchmarks for Oligonucleotide Drug Discovery
Rachapun Rotrattanadumrong, Carlo De Donno
Don’t Give Up on Democratizing AI for the Wrong Reasons
Annette Zimmermann, Andrew Zeppa, Srijan Pandey et al.
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
David McCoy, Yulun Wu, Zachary Butzin-Dozier
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
Philip Schroeder, Ondrej Biza, Thomas Weng et al.
List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression
Joseph Rowan, Truong Buu Phan, Ashish Khisti
Kernel conditional tests from learning-theoretic bounds
Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck et al.
No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models
Fan Li, Xuan Wang, Xuanbin Wang et al.
Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs
Jiacong Zhou, Jiaxu Miao, xianyun wang et al.
Post Hoc Regression Refinement via Pairwise Rankings
Kevin Tirta Wijaya, Michael Sun, Minghao Guo et al.
ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
Jingyuan He, Jiongnan Liu, Vishan Oberoi et al.
Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
Hongyi Zhou, Jingwei Li, Jingzhao Zhang
UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
Haoming Ye, Yunxiao Xiao, Cewu Lu et al.
Decoupled Motion Expression Video Segmentation
Hao Fang, Runmin Cong, Xiankai Lu et al.
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe, Kenshi Abe, Kaito Ariu
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur et al.
Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures
Gongyu Chen, Ying Cui
Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms
Guangyi Zhang, Yanhao Wang, Chengliang Chai et al.
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
Pedro Hermosilla, Christian Stippel, Leon Sick
Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
Naoki Kiyohara, Edward Johns, Yingzhen Li
Recurrent Memory for Online Interdomain Gaussian Processes
Wenlong Chen, Naoki Kiyohara, Harrison Zhu et al.
Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges
Shuwen Wei, Samuel Remedios, Blake Dewey et al.
Optimal Estimation of the Best Mean in Multi-Armed Bandits
Takayuki Osogami, Junya Honda, Junpei Komiyama
Graph-Based Attention for Differentiable MaxSAT Solving
Sota Moriyama, Katsumi Inoue
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models
Ehsan Sharifian, Saber Salehkaleybar, Negar Kiyavash
Towards Continual Universal Segmentation
Zihan Lin, Zilei Wang, Xu Wang
Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration
Jingjun Yi, Qi Bi, Hao Zheng et al.
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
Hao Zheng, Jingjun Yi, Qi Bi et al.
Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
Yuqian Cheng, Zhuo Chen, Qian Lin
Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis
Tony Yousefnezhad
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
Ziwei Zhao, Zhixing Zhang, Yuhang Liu et al.
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Sihyung Park, Wenbin Lu, Shu Yang
Accelerating Optimization via Differentiable Stopping Time
Zhonglin Xie, Yiman Fong, Haoran Yuan et al.
Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
Mehran Shakerinava, Siamak Ravanbakhsh, Adam Oberman
GReg: Geometry-Aware Region Refinement for Sign Language Video Generation
Tongkai Shi, Lianyu Hu, Fanhua Shang et al.
A Dataset for Semantic Segmentation in the Presence of Unknowns
Zakaria Laskar, Tomas Vojir, Matej Grcic et al.
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
Zheng CHEN, Yushi Feng, Jisheng Dang et al.
When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
Anirban Das, Muhammad Irtaza Khalid, Rafael Peñaloza et al.
Cross-Modal 3D Representation with Multi-View Images and Point Clouds
Ziyang Zhou, Pinghui Wang, Zi Liang et al.
Online Multi-Class Selection with Group Fairness Guarantee
Faraz Zargari, Hossein Jazi, Lyndon Hallett et al.
Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe
Jia Nuo Liew, Shenghan Lin, Bowen Chen 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.
MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans
Ahmet Karadeniz, Dimitrios Mallis, Danila Rukhovich et al.
Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery
Shayan Shekarforoush, David Lindell, Marcus Brubaker et al.
MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer
Nisha Huang, Henglin Liu, Yizhou Lin et al.
scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery
Yiming Gao, Zhen Wang, Jefferson Chen et al.
PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy
Ruyu Liu, Lin Wang, Zhou Mingming et al.
Test-Time Adaptive Object Detection with Foundation Model
Yingjie Gao, Yanan Zhang, Zhi Cai et al.
Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization
Matthew Bull, Po-Chen Kuo, Andrew Smith et al.
More effort is needed to protect pedestrian privacy in the era of AI
Xingchen Zhang, Zixian Zhao
Zero-Shot Composed Image Retrieval via Dual-Stream Instruction-Aware Distillation
Wenliang Zhong, Rob Barton, Weizhi An et al.
Reasoning Planning for Language Models
Ngoc Bao Nguyen, Trung Hieu Nguyen, Ruifeng She et al.
Fully Dynamic Algorithms for Chamfer Distance
Gramoz Goranci, Shaofeng Jiang, Peter Kiss et al.
BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
Zhongju Yuan, Geraint Wiggins, Dick Botteldooren
Less is More: Efficient Model Merging with Binary Task Switch
Biqing Qi, Fangyuan Li, Zhen Wang et al.
Feature Decomposition-Recomposition in Large Vision-Language Model for Few-Shot Class-Incremental Learning
Zongyao Xue, Meina Kan, Shiguang Shan et al.
Relative Illumination Fields: Learning Medium and Light Independent Underwater Scenes
Mengkun She, Felix Seegräber, David Nakath et al.
Unboxed: Geometrically and Temporally Consistent Video Outpainting
Zhongrui Yu, Martina Megaro-Boldini, Robert Sumner et al.
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
Liwei Luo, Shuaitengyuan Li, Dongwei Ren et al.
Should VLMs be Pre-trained with Image Data?
Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre et al.
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks
Giyeong Oh, Woohyun Cho, Siyeol Kim et al.
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han et al.
Training-Free Industrial Defect Generation with Diffusion Models
Ruyi Xu, Yen-Tzu Chiu, Tai-I Chen et al.
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
Abdellah Rahmani, Pascal Frossard
UCM-VeID V2: A Richer Dataset and A Pre-training Method for UAV Cross-Modality Vehicle Re-Identification
Xingyue Liu, Jiahao Qi, Chen Chen et al.
Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation
Guilin Zhu, Runmin Wang, Yuanjie Shao et al.
Auto-Regressive Transformation for Image Alignment
Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression
Yifei Gao, Yong Chen, Chen Zhang
Competitive Fair Scheduling with Predictions
Tianming Zhao, Chunqiu xia, Xiaomin Chang et al.
How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation
Xin Lu, Yanyan Zhao, Si Wei et al.
Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation
Kai Zheng, Jianxin Wang, Jinhui Xu
DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
Chong Wu, Jiawang Cao, Renjie Xu et al.
Locally Orderless Images for Optimization in Differentiable Rendering
Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi
X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection
Tong Wei, Bolin Wang, Jiang-Xin Shi et al.
Graph-Embedded Structure-Aware Perceptual Hashing for Neural Network Protection and Piracy Detection
Ruiheng Liu, Haozhe Chen, Boyao Zhao et al.
Bilevel Network Learning via Hierarchically Structured Sparsity
Jiayi Fan, Jingyuan Yang, Shuangge Ma et al.
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma et al.
Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
Lin Zhu, Tengyu Long, Xiao Wang et al.
Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
Stathis Megas, Daniel Chen, Krzysztof Polanski et al.
Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing
Huanjia Zhu, Shuyuan Zheng, Yishu Liu et al.
HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
Kaixuan Yao, Zhuo Li, Jianqing Liang et al.
Super Resolved Imaging with Adaptive Optics
Robin Swanson, Esther Y. H. Lin, Masen Lamb et al.
Event-based HDR Structured Light
Jiacheng Fu, Yue Li, Xin Dong et al.
Cyclic Counterfactuals under Shift–Scale Interventions
Saptarshi Saha, Dhruv Rathore, Utpal Garain
Omni-scene Perception-oriented Point Cloud Geometry Enhancement for Coordinate Quantization
Wang Liu, Wei Gao
A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data
Dongguen Kim, Young-Geun Choi, Minwoo Chae
Scaling Epidemic Inference on Contact Networks: Theory and Algorithms
Guanghui Min, Yinhan He, Chen Chen
Deterministic Object Pose Confidence Region Estimation
Jinghao Wang, Zhang Li, Zi Wang et al.
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders
Savya Khosla, Sethuraman T V, Barnett Lee et al.
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
Lilin Zhang, Chengpei Wu, Ning Yang
Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression
Juan Chen, Honglin liu, Yingying Ao et al.
FIGRDock: Fast Interaction-Guided Regression for Flexible Docking
Shikun Feng, Bicheng Lin, Yuanhuan Mo et al.
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
Yinjie Min, Furong Xu, Xinyao Li et al.
Strategic Hypothesis Testing
Yatong Chen, Safwan Hossain, Yiling Chen
HVPUNet: Hybrid-Voxel Point-cloud Upsampling Network
Juhyung Ha, Vibhas Vats, Alimoor Reza et al.
The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
Youssef Chaabouni, David Gamarnik
Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation
Weining Ren, Hongjun Wang, Xiao Tan et al.
Statistics Caching Test-Time Adaptation for Vision-Language Models
Zenghao Guan, Yucan Zhou, Wu Liu et al.
StageDesigner: Artistic Stage Generation for Scenography via Theater Scripts
Zhaoxing Gan, Mengtian Li, Ruhua Chen et al.
Association-Focused Path Aggregation for Graph Fraud Detection
Tian Qiu, Wenda Li, Zunlei Feng et al.
From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging
Dmitry Lvov, Ilya Pershin
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
Jaehyun Park, Konyul Park, Daehun Kim et al.
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
Jinhong Deng, Wen Li, Joey Tianyi Zhou et al.
Style-Editor: Text-driven Object-centric Style Editing
Jihun Park, Jongmin Gim, Kyoungmin Lee et al.
A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems
Gokul Rajaraman, Debasish Chatterjee
Zero-Shot Performance Prediction for Probabilistic Scaling Laws
Viktoria Schram, Markus Hiller, Daniel Beck et al.
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
Lam Ngo, Huong Ha, Jeffrey Chan et al.
Domain Generalization in CLIP via Learning with Diverse Text Prompts
Changsong Wen, Zelin Peng, Yu Huang et al.
Adaptive Latent-Space Constraints in Personalized Federated Learning
Sana Ayromlou, David B. Emerson
Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes
Jumin Han, Jun-Hui Kim, Seong-Whan Lee
Online-to-Offline RL for Agent Alignment
Xu Liu, Haobo Fu, Stefano V. Albrecht et al.
Unified Video Generation via Next-Set Prediction in Continuous Domain
Zhanzhou Feng, Qingpei Guo, Xinyu Xiao et al.
RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
Chenxu Niu, Jie Zhang, Yanbing Liu et al.
Explainable Reinforcement Learning from Human Feedback to Improve Alignment
Shicheng Liu, Siyuan Xu, Wenjie Qiu et al.
G2D: Boosting Multimodal Learning with Gradient-Guided Distillation
Mohammed Rakib, Arunkumar Bagavathi
Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes
Yiming Dou, Wonseok Oh, Yuqing Luo et al.
Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks
Jiawei Gu, Ziyue Qiao, Zechao Li
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
Lutz Oettershagen, Othon Michail
BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks
Sen Bai, Chunqi Yang, Xin Bai et al.
Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior
Yuliang Xu, Jian Kang
LUSD: Localized Update Score Distillation for Text-Guided Image Editing
Worameth Chinchuthakun, Tossaporn Saengja, Nontawat Tritrong et al.
Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image
Junkun Chen, Aayush Bansal, Minh Vo et al.
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
Jifeng Hu, Sili Huang, Zhejian Yang et al.
FlowChef: Steering of Rectified Flow Models for Controlled Generations
Maitreya Patel, Song Wen, Dimitris Metaxas et al.
Timely Clinical Diagnosis through Active Test Selection
Silas Ruhrberg Estévez, Nicolás Astorga, Mihaela van der Schaar
VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection
Wuyang Li, Zhu Yu, Alexandre Alahi
HyPiDecoder: Hybrid Pixel Decoder for Efficient Segmentation and Detection
Fengzhe Zhou, Humphrey Shi
Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems
Utkarsh Chavan, Prashant Trivedi, Nandyala Hemachandra
Optical Model-Driven Sharpness Mapping for Autofocus in Small Depth-of-Field and Severe Defocus Scenarios
Chen-Liang Fan, Mingpei Cao, Chih-Chien Hung et al.
Embodied Cognition Augmented End2End Autonomous Driving
Ling Niu, Xiaoji Zheng, han wang et al.
ScanEdit: Hierarchically-Guided Functional 3D Scan Editing
Mohamed El Amine Boudjoghra, Ivan Laptev, Angela Dai
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment
Qingqian Yang, Peishen Yan, Xiaoyu Wu et al.
LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation
Md Mostafijur Rahman, Radu Marculescu
Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities
Yan Zhuang, Minhao Liu, Wei Bai et al.
Tight Bounds for Maximum Weight Matroid Independent Set and Matching in the Zero Communication Model
Ilan Doron-Arad
Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models
Eunseo Koh, SeungHoo Hong, Tae-Young Kim et al.
Irrational Complex Rotations Empower Low-bit Optimizers
Zhen Tian, Xin Zhao, Ji-Rong Wen
TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making
Shanshan Li, Da Huang, Yu He et al.
Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization
Haoran Xu, Liyuan Mao, Hui Jin et al.
Vertical Federated Feature Screening
Huajun Yin, Liyuan Wang, Yingqiu Zhu et al.
GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation
Yi Dong, Yuxi Wang, Xianhui Lin et al.
Low-degree evidence for computational transition of recovery rate in stochastic block model
Jingqiu Ding, Yiding Hua, Lucas Slot et al.
Memorization in Graph Neural Networks
Adarsh Jamadandi, Jing Xu, Adam Dziedzic et al.
From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuning
Sen Wang, Shao Zeng, Tianjun Gu et al.
ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation
Jiuhong Xiao, Roshan Nayak, Ning Zhang et al.
Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
Chengxiu HUA, Jiawen Gu, Yushun Tang
From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs
Xin Li, Xiaotao Zheng, Zhihong Xia
DreamCube: RGB-D Panorama Generation via Multi-plane Synchronization
Yukun Huang, Yanning Zhou, Jianan Wang et al.
Learning Spatial-Aware Manipulation Ordering
Yuxiang Yan, Zhiyuan Zhou, Xin Gao et al.
Building Blocks of Differentially Private Training
Mahmoud Hegazy, Aymeric Dieuleveut
MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
WANTONG XIE, Yi-Xiang Hu, Jieyang Xu et al.
Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model
Yuyao Wang, Yu-Hung Cheng, Debarghya Mukherjee et al.
From Gaze to Movement: Predicting Visual Attention for Autonomous Driving Human-Machine Interaction based on Programmatic Imitation Learning
Yexin Huang, Yongbin Lin, Lishengsa Yue et al.
Streaming Federated Learning with Markovian Data
Khiem HUYNH, Malcolm Egan, Giovanni Neglia et al.
Efficient Verified Unlearning For Distillation
Yijun Quan, Zushu Li, Giovanni Montana
KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
Rui Peng, Yuchen Lu, Qichen Sun et al.
Dual-level Prototype Learning for Composite Degraded Image Restoration
Zhongze Wang, Haitao Zhao, Lujian Yao et al.
Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes
Sullam Jeoung, Yubin Ge, Haohan Wang et al.
Linear Recurrences Accessible to Everyone
Felix Sarnthein
SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour
Tom George, Pierre Glaser, Kimberly Stachenfeld et al.
Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks
Alexander Ratzan, Sidharth Goel, Junhao Wen et al.
MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks
Rui Jiao, Hanlin Wu, Wenbing Huang et al.
Future-Aware Interaction Network For Motion Forecasting
Shijie Li, Chunyu Liu, Xun Xu et al.
Universal Few-shot Spatial Control for Diffusion Models
Kiet Nguyen, Chanhyuk Lee, Donggyun Kim et al.
Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks
Roberto Gheda, Abele Mălan, Thiago Guzella et al.
Efficient Decoupled Feature 3D Gaussian Splatting via Hierarchical Compression
Zhenqi Dai, Ting Liu, Yanning Zhang
Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
Shiyue Wang, Ziao Guo, Changhong Lu et al.
Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
Kijung Jeon, Michael Muehlebach, Molei Tao
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
Yuyang Deng, Samory Kpotufe
Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
Alina Ene, Ta Duy Nguyen, Adrian Vladu
Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
Constantin Venhoff, Ashkan Khakzar, Sonia Joseph et al.
Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation
Hanchen Su, Xuyuan Li, Yan Zhou et al.
SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
Hanwen Liu, Longjiao Zhang, Rui Wang et al.
Flow Stochastic Segmentation Networks
Fabio De Sousa Ribeiro, Omar Todd, Charles Jones et al.
SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries
KAI QI, Fan Wang, Zhewen Dong et al.
Instance-Level Video Depth in Groups Beyond Occlusions
Yuan Liang, Yang Zhou, Ziming Sun et al.
Projective Equivariant Networks via Second-order Fundamental Differential Invariants
Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
Skill-Driven Neurosymbolic State Abstractions
Alper Ahmetoglu, Steven James, Cameron Allen et al.
Sample-Adaptivity Tradeoff in On-Demand Sampling
Nika Haghtalab, Omar Montasser, Mingda Qiao
DL2G: Degradation-guided Local-to-Global Restoration for Eyeglass Reflection Removal
Yizhilv, Xiao Lu, Hong Ding et al.
TANDEM: Bi-Level Data Mixture Optimization with Twin Networks
Jiaxing Wang, Deping Xiang, Jin Xu et al.
Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics
Minseok Jeong, Giup Seo, Euiseok Hwang
ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning
Rose Gurung, Ronilo Ragodos, Chiyu Ma et al.
Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
Francesco Bacchiocchi, Matteo Castiglioni, Roberto Colomboni et al.
Fairness-aware Anomaly Detection via Fair Projection
Feng Xiao, Xiaoying Tang, Jicong Fan
Scalable Evaluation and Neural Models for Compositional Generalization
Giacomo Camposampiero, Pietro Barbiero, Michael Hersche et al.
Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors
Zheyuan Zhang, Weihao Tang, Hong Chen
Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW
Fengmiao Bian, Jinyang ZHENG, Ziyun Liu et al.
Rare Text Semantics Were Always There in Your Diffusion Transformer
seil kang, Woojung Han, Dayun Ju et al.
Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows
Shentong Mo, Yibing Song
Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation
Nan Bao, Yifan Zhao, Lin Zhu et al.
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
Gaozheng Pei, Shaojie Lyu, Gong Chen et al.
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
Yonghao Liu, Yajun Wang, Chunli Guo et al.
The Ramanujan Library - Automated Discovery on the Hypergraph of Integer Relations
Itay Beit Halachmi, Ido Kaminer
A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows
Guansheng Peng, Lining Xing, Fuyan Ma et al.
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.
SynTag: Enhancing the Geometric Robustness of Inversion-based Generative Image Watermarking
Han Fang, Kejiang Chen, Zehua Ma et al.
Multi-head Temporal Latent Attention
Keqi Deng, Phil Woodland
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
Yiqi Tian, Pengfei Jin, Mingze Yuan et al.