Most Cited NEURIPS "taylor integrators" Papers
5,858 papers found • Page 21 of 30
Conference
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
Jingmin Zhu, Anqi Zhu, Hossein Rahmani et al.
RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling
Xiuying Wei, Anunay Yadav, Razvan Pascanu et al.
What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers
Yi Wang, Jiaze Wang, Ziyu Guo 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.
Tight Bounds for Answering Adaptively Chosen Concentrated Queries
Emma Rapoport, Edith Cohen, Uri Stemmer
Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability
Wenzhao Liu, Haoran Li, Congying Han et al.
Revisiting Glorot Initialization for Long-Range Linear Recurrences
Noga Bar, Mariia Seleznova, Yotam Alexander et al.
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
Yunbo Li, Jiaping Gui, Zhihang Deng 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.
Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go
Yichuan Ma, Linyang Li, Yongkang Chen et al.
VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness
Minghao Yang, Zechen Bai, Jing Lin et al.
Incremental Sequence Classification with Temporal Consistency
Lucas Maystre, Gabriel Barello, Tudor Berariu 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
Generalization Bounds for Model-based Algorithm Configuration
Zhiyang Chen, Hailong Yao, Xia Yin
Simple and Optimal Sublinear Algorithms for Mean Estimation
Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn et al.
Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making
Tianyuan Jia, Ziyu Li, Qing Li et al.
Causal Explanation-Guided Learning for Organ Allocation
Alessandro Marchese, Jeroen Berrevoets, Sam Verboven
WMCopier: Forging Invisible Watermarks on Arbitrary Images
Ziping Dong, Chao Shuai, Zhongjie Ba et al.
Sharp Gaussian approximations for Decentralized Federated Learning
SOHAM BONNERJEE, Sayar Karmakar, Wei Biao Wu
Private Training Large-scale Models with Efficient DP-SGD
Liangyu Wang, Junxiao Wang, Jie Ren 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.
Explainably Safe Reinforcement Learning
Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.
Private Geometric Median in Nearly-Linear Time
Syamantak Kumar, Daogao Liu, Kevin Tian et al.
PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs
Hanzhen Zhao, Ding Shihong, Cong Fang et al.
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
Yunseon Choi, Minchan Jeong, Soobin Um et al.
Learning-Augmented Online Bipartite Fractional Matching
XianJun, Davin Choo, Billy Jin, Yongho Shin
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.
ECO: Evolving Core Knowledge for Efficient Transfer
Fu Feng, Yucheng Xie, Ruixiao Shi et al.
vHector and HeisenVec: Scalable Vector Graphics Generation Through Large Language Models
Leonardo Zini, Elia Frigieri, Sebastiano Aloscari et al.
A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
Kyra Kadhim, Jonas Beck, Ziwei Huang et al.
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization
Junpyo Seo, HanbinKoo, jieun yook et al.
Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
Shitong Xu, Yiyuan Yang, Niki Trigoni et al.
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li 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.
Bernstein–von Mises for Adaptively Collected Data
Kevin Du, Yash Nair, Lucas Janson
Implicit Modeling for Transferability Estimation of Vision Foundation Models
Yaoyan Zheng, Huiqun Wang, Nan Zhou 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.
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim, Ilmun Kim, Seyoung Park
Marginal-Nonuniform PAC Learnability
Steve Hanneke, Shay Moran, Maximilian Thiessen
TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad 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.
Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
Junhyung Lyle Kim, Brandon Augustino, Dylan Herman et al.
Multi-View Oriented GPLVM: Expressiveness and Efficiency
Zi Yang, Ying Li, Zhidi Lin et al.
Wasserstein Transfer Learning
Kaicheng Zhang, Sinian Zhang, Doudou Zhou et al.
DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
Cathy Jiao, Yijun Pan, Emily Xiao et al.
Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection
Yuxi Liu, Min Liu, Shuai Jiang et al.
User-Instructed Disparity-aware Defocus Control
Yudong Han, Yan Yang, Hao Yang et al.
A Semantic Parsing Framework for End-to-End Time Normalization
Xin Su, Sungduk Yu, Phillip Howard et al.
Balanced Active Inference
Boyu Chen, Zhixiang Zhou, Liuhua Peng et al.
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer
Dafeng Zhang
Online Two-Stage Submodular Maximization
Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis 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.
Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
Jingyuan Liu, Hao Qiu, Lin Yang et al.
Data-Adaptive Exposure Thresholds under Network Interference
Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan
Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs
Wanyun Cui, Mingwei Xu
Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
Hongjie Chen, Jingqiu Ding, Yiding Hua et al.
Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent
Ziyang Wei, Jiaqi Li, Zhipeng Lou et al.
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning
Remco Leijenaar, Hamidreza Kasaei
Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold
Ido Cohen, Ronen Talmon
Density Ratio-Free Doubly Robust Proxy Causal Learning
Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier 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
NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
Wonje Choi, Jooyoung Kim, Honguk Woo
Learning to Rank for In-Context Example Retrieval
Yuwen Ji, Luodan Zhang, Ambyer han et al.
LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
Yi Xiao, Hang Fan, Kun Chen et al.
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle
MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
Liang Yue, Yihong Tang, Kehai Chen et al.
Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs
Mianchu Wang, Giovanni Montana
Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
Kai Hu, Zhang Yu, Yuan Zhang et al.
LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
Yuan Guo, Qian Ma, Hui Li et al.
DeCaFlow: A deconfounding causal generative model
Alejandro Almodóvar, Adrián Javaloy, Juan Parras et al.
Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
Kaixiang Chen, Pengfei Fang, hui xue
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
Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning
Navita Goyal, Hal Daumé III, Alexandre Drouin et al.
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
Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction
Wenbo Shang, Zihan Feng, Yang Yajun et al.
Causal Discovery over Clusters of Variables in Markovian Systems
Tara Anand, Adèle Ribeiro, Jin Tian 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.
VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers
Qinkai XU, yijin liu, YangChen et al.
Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
Hua Ye, Hang Ding, Siyuan Chen et al.
Price of Parsimony: Complexity of Fourier Sparsity Testing
Arijit Ghosh, Manmatha Roy
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
Adriel Sosa Marco, John D. Kirwan, Alexia Toumpa et al.
Principled Model Routing for Unknown Mixtures of Source Domains
Christoph Dann, Yishay Mansour, Teodor Vanislavov Marinov et al.
DroneAudioset: An Audio Dataset for Drone-based Search and Rescue
Chitralekha Gupta, Soundarya Ramesh, Praveen Sasikumar 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.
Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding
Pei-Shuo Wang, Jian-Jia Chen, Chun-Che Yang et al.
Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
Runze Xia, Richard Jiang
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.
REINFORCE Converges to Optimal Policies with Any Learning Rate
Samuel Robertson, Thang Chu, Bo Dai et al.
PROFIT: A Specialized Optimizer for Deep Fine Tuning
Anirudh Chakravarthy, Shuai Zheng, Xin Huang et al.
HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts
Yinuo Jiang, Yan Xiaodong, Keyan Ding et al.
Aligning Text-to-Image Diffusion Models to Human Preference by Classification
Longquan Dai, Xiaolu Wei, wang he et al.
Dataset Distillation of 3D Point Clouds via Distribution Matching
Jae-Young Yim, Dongwook Kim, Jae-Young Sim
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.
Learning-Augmented Facility Location Mechanisms for the Envy Ratio Objective
Haris Aziz, Yuhang Guo, Alexander Lam et al.
Gate to the Vessel: Residual Experts Restore What SAM Overlooks
Weili Jiang, Jinrong Lv, Xun Gong et al.
Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens
Bohan Wang, Mingze Zhou, Zhongqi Yue et al.
Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers
Ziyi Fang, Lingxiao Huang, Runkai Yang
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.
PINNs with Learnable Quadrature
Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh
ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling
Shuyuan Zhang, ChenHan Jiang, Zuoou Li et al.
Metric Automata Theory: A Unifying Theory of RNNs
Adam Dankowiakowski, Alessandro Ronca
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
Zhichao Deng, Zhikun Liu, Junxue Wang 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
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
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.
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
Xuyang Zhong, Yixiao Huang, Chen Liu
Program Synthesis via Test-Time Transduction
Kang-il Lee, Jahyun Koo, Seunghyun Yoon et al.
Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data
Tian Gao, Songtao Lu, Junkyu Lee et al.
Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
Jinyong Jeong, Hyungu Kahng, Seoung Bum Kim
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Wenjing Tang, Xinyu He, Yongxi Huang et al.
MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
Zeyue Zhang, Heng Ping, Peiyu Zhang et al.
UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
Duo Wang, Yuan Zuo, Guangyue Lu 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.
Caption This, Reason That: VLMs Caught in the Middle
Zihan Weng, Lucas Gomez, Taylor Webb 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.
Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
Ling Zhan, Junjie Huang, Xiaoyao Yu et al.
Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
Jingyuan Zhang, Xin Wang, Lei Yu et al.
MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
Seong-Hyeon Hwang, Soyoung Choi, Steven Whang
DAA: Amplifying Unknown Discrepancy for Test-Time Discovery
Tianle Liu, Fan Lyu, Chenggong Ni et al.
Reasoning Is Not a Race: When Stopping Early Beats Going Deeper
Mohan Zhang, Jiaxuan Gao, Shusheng Xu et al.
OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects
Mark H. Huang, Lin Geng Foo, Christian Theobalt et al.
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
Mouïn Ben Ammar, David Brellmann, Arturo Mendoza et al.
Bandit Guided Submodular Curriculum for Adaptive Subset Selection
Prateek Chanda, Prayas Agrawal, Saral Sureka 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.
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
Markus Gross, Aya Fahmy, Danit Niwattananan et al.
Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree
Xingbo Du, Ruizhe Zhong, Junchi Yan
Non-rectangular Robust MDPs with Normed Uncertainty Sets
Navdeep Kumar, Adarsh Gupta, Maxence Mohamed ELFATIHI et al.
Once Upon an Input: Reasoning via Per-Instance Program Synthesis
Adam Stein, Neelay Velingker, Mayur Naik et al.
Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu et al.
The Structure of Relation Decoding Linear Operators in Large Language Models
Miranda Anna Christ, Adrián Csiszárik, Gergely Becsó 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
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
Ilias Diakonikolas, Chao Gao, Daniel Kane et al.
Ambient Proteins - Training Diffusion Models on Noisy Structures
Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar et al.
Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
Seong Hyeon Park, Jinwoo Shin
OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data
Hao Luo, Zihao Yue, Wanpeng Zhang et al.
Training Robust Graph Neural Networks by Modeling Noise Dependencies
Yeonjun In, Kanghoon Yoon, Sukwon Yun et al.
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
Yuanpei Gao, Qi Yan, Yan Leng et al.
Collapsing Taylor Mode Automatic Differentiation
Felix Dangel, Tim Siebert, Marius Zeinhofer et al.
FlowRefiner: A Robust Traffic Classification Framework against Label Noise
Mingwei Zhan, Ruijie Zhao, Xianwen Deng et al.
3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
Yangshi Ge, Yiwei Bao, Feng Lu
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.
Two Heads are Better than One: Simulating Large Transformers with Small Ones
Hantao Yu, Josh Alman
Semi-infinite Nonconvex Constrained Min-Max Optimization
Cody Melcher, Zeinab Alizadeh, Lindsey Hiett et al.
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
Yuena Lin, Hao Wei, Hai-Chun Cai et al.
Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
Xiangyu Wen, Min Li, Junhua Huang et al.
Computation and Memory-Efficient Model Compression with Gradient Reweighting
Zhiwei Li, Yuesen Liao, Binrui Wu et al.
AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering
Bohang Sun, Yuena Lin, Tao Yang et al.
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
Tonglong Wei, Yan Lin, Zeyu Zhou et al.
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
Gangda Deng, Hongkuan Zhou, Rajgopal Kannan et al.