Most Cited NEURIPS "cortical dynamics" Papers
5,858 papers found • Page 24 of 30
Conference
A Pre-training Framework for Relational Data with Information-theoretic Principles
Quang Truong, Zhikai Chen, Mingxuan Ju et al.
Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
Jiacong Chen, Qingyu Mao, Youneng Bao et al.
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
Ji Xia, Yizi Zhang, Shuqi Wang et al.
ELDET: Early-Learning Distillation with Noisy Labels for Object Detection
Dongmin Choi, Sangbin Lee, EungGu Yun et al.
Safe and Stable Control via Lyapunov-Guided Diffusion Models
Xiaoyuan Cheng, Xiaohang Tang, Yiming Yang
Learning Stochastic Multiscale Models
Andrew F. Ilersich, Prasanth Nair
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
Mingyuan Xia, Chunxu Zhang, Zijian Zhang et al.
Path-Enhanced Contrastive Learning for Recommendation
Haoran Sun, Fei Xiong, Yuanzhe Hu et al.
Conformal Online Learning of Deep Koopman Linear Embeddings
Ben Gao, Jordan Patracone, Stephane Chretien et al.
$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
Yize Chen, Zhiyuan Yan, Guangliang Cheng et al.
Non-Convex Tensor Recovery from Tube-Wise Sensing
Tongle Wu, Ying Sun
Preserving Task-Relevant Information Under Linear Concept Removal
Floris Holstege, Shauli Ravfogel, Bram Wouters
VividFace: A Robost and High-Fidelity Video Face Swapping Framework
Hao Shao, Shulun Wang, Yang Zhou et al.
Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
Ling Li, Yao Zhou, Yuxuan Liang et al.
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
Yifeng Jiao, Yuchen Liu, Yu Zhang et al.
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
Panqi Chen, Yifan Sun, Lei Cheng et al.
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
Qinting Jiang, Chuyang Ye, Dongyan Wei et al.
From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
Weitong Zhang, Chengqi Zang, Bernhard Kainz
FracFace: Breaking The Visual Clues—Fractal-Based Privacy-Preserving Face Recognition
Wanying Dai, Beibei Li, Naipeng Dong et al.
Sequential Attention-based Sampling for Histopathological Analysis
Tarun Gogisetty, Naman Malpani, Gugan Chandrashekhar Mallika Thoppe et al.
Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions
Liuyuan Jiang, Quan Xiao, Lisha Chen et al.
Generative Perception of Shape and Material from Differential Motion
Xinran Han, Ko Nishino, Todd Zickler
NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
Shengyuan Chen, Zheng Yuan, Qinggang Zhang et al.
LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models
Hao Sun, Huailiang Peng, Qiong Dai et al.
Spectral Compressive Imaging via Chromaticity-Intensity Decomposition
Xiaodong Wang, Zijun He, Ping Wang et al.
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
Mingyang Yi, Bohan Wang
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
Wenbo Hu, Yining Hong, Yanjun Wang et al.
MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
Ziru Wang, Mengmeng Wang, Guang Dai et al.
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Shenzhi Wang, Le Yu, Chang Gao et al.
Analyzing the Power of Chain of Thought through Memorization Capabilities
Lijia Yu, Xiao-Shan Gao, Lijun Zhang
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
Wei Yang, Rui Zhong, Yiqun Chen et al.
Learning to Clean: Reinforcement Learning for Noisy Label Correction
Marzi Heidari, Hanping Zhang, Yuhong Guo
Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games
Alistair Benford, Per Kristian Lehre
Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies
Vipul Sharma, Wesley Suttle, S Sivaranjani
Gymnasium: A Standard Interface for Reinforcement Learning Environments
Mark Towers, Ariel Kwiatkowski, John Balis et al.
TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
Zhe Zhao, Zhiheng Gong, Pengkun Wang et al.
Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
Daniel D. Richman, Jessica Karaguesian, Carl-Mikael Suomivuori et al.
RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
Xingliang Wang, Zemin Liu, Junxiao Han et al.
RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains
Tianle Pu, Zijie Geng, Haoyang Liu et al.
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
Ziqi Yuan, Haoyang Zhang, Yirui Zhou et al.
Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective
Haifeng Zhao, Haiyang Li, Lei-Lei Ma et al.
What Can RL Bring to VLA Generalization? An Empirical Study
Jijia Liu, Feng Gao, Bingwen Wei et al.
Model-Informed Flows for Bayesian Inference
Joohwan Ko, Justin Domke
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha et al.
CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
Marc Lafon, Gustavo Vargas Hakim, Clément Rambour et al.
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang et al.
Normalize Filters! Classical Wisdom for Deep Vision
Gustavo Perez, Stella X. Yu
Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
Yidi Liu, Xueyang Fu, Jie Huang et al.
Aligning Transformers with Continuous Feedback via Energy Rank Alignment
Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran et al.
Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
Xin Sun, Heng Zhou, Chao Li
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani et al.
HOComp: Interaction-Aware Human-Object Composition
Dong Liang, Jinyuan Jia, Yuhao LIU et al.
CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs
Bowen Gao, Yanwen Huang, Yiqiao Liu et al.
Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification
Yongxiang Li, Yanglin Feng, Yuan Sun et al.
Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology
Luting Wang, Yinghao Xiang, Hongliang Huang et al.
Faster Fixed-Point Methods for Multichain MDPs
Matthew Zurek, Yudong Chen
OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement
Ye Tian, Angela McCarthy, Gabriel Gomide et al.
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
Jiaming Ma, Binwu Wang, Qihe Huang et al.
Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
Zhilong Zhang, Yuxuan Song, Yichun Wang et al.
FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning
Lu Zhang, Jiazuo Yu, Haomiao Xiong et al.
Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation
Zhenyu Wang, Peter Bühlmann, Zijian Guo
EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang et al.
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo, Austin Hoag, Xintong Wang et al.
IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation
Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai et al.
AION-1: Omnimodal Foundation Model for Astronomical Sciences
Liam Parker, Francois Lanusse, Jeff Shen et al.
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
Zhiyi Lyu, Jianguo Huang, Yanchen Deng et al.
Training-free Detection of AI-generated images via Cropping Robustness
Sungik Choi, Hankook Lee, Moontae Lee
Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
Samuel V. Singh, Shirley Coyle, Mimi Zhang
Backdoor Mitigation via Invertible Pruning Masks
Kealan Dunnett, Reza Arablouei, Volkan Dedeoglu et al.
Quantitative convergence of trained neural networks to Gaussian processes
Andrea Agazzi, Eloy Mosig García, Dario Trevisan
MokA: Multimodal Low-Rank Adaptation for MLLMs
Yake Wei, Yu Miao, Dongzhan Zhou et al.
Learning to Reason under Off-Policy Guidance
Jianhao Yan, Yafu Li, Zican Hu et al.
Value Improved Actor Critic Algorithms
Yaniv Oren, Moritz Zanger, Pascal van der Vaart et al.
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
Yuting Huang, Ziquan Fang, Zhihao Zeng et al.
Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?
Apratim Bhattacharyya, Bicheng Xu, Sanjay Haresh et al.
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
Tara Akhound-Sadegh, Jungyoon Lee, Joey Bose et al.
Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
Haochen Zhang, Junze Yin, Guanchu Wang et al.
Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets
Runhan Shi, Letian Chen, Gufeng Yu et al.
Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start
Fuyang Liu, Jiaqi Xu, Xiaowei Hu
Taming Adversarial Constraints in CMDPs
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni et al.
SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI
Yuzhou Nie, Zhun Wang, Yu Yang et al.
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
Xin Yao, Haiyang Zhao, Yimin Chen et al.
Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation
Muqi Han, Xiaobin Li, Kai Wu et al.
Vocabulary-Guided Gait Recognition
Panjian Huang, Saihui Hou, Chunshui Cao et al.
Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
Sihan Zeng, Benjamin Patrick Evans, Sujay Bhatt et al.
OmniSVG: A Unified Scalable Vector Graphics Generation Model
Yiying Yang, Wei Cheng, Sijin Chen et al.
FraPPE: Fast and Efficient Preference-Based Pure Exploration
Udvas Das, Apurv Shukla, Debabrota Basu
Physics-informed Neural Operator for Pansharpening
Xinyang Liu, Junming Hou, Chenxu Wu et al.
OOD Detection with Relative Angles
Berker Demirel, Marco Fumero, Francesco Locatello
Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis
Chengliang Liu, Que Yuanxi, Qihao Xu et al.
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
Hui Chen, Miao Xiong, Yujie Lu et al.
Image Super-Resolution with Guarantees via Conformalized Generative Models
Eduardo Adame, Daniel Csillag, Guilherme Tegoni Goedert
Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding
Daiqing Qi, Dongliang Guo, Hanzhang Yuan et al.
Individual Fairness In Strategic Classification
Zhiqun Zuo, Mohammad Mahdi Khalili
Calibrating Translation Decoding with Quality Estimation on LLMs
Di Wu, Yibin Lei, Christof Monz
Distributional Adversarial Attacks and Training in Deep Hedging
Guangyi He, Tobias Sutter, Lukas Gonon
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
Yu Gui, Cong Ma, Zongming Ma
LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation
Yang Miao, Jan-Nico Zaech, Xi Wang et al.
Can NeRFs "See" without Cameras?
Chaitanya Amballa, Yu-Lin Wei, Sattwik Basu et al.
ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts
Linfeng Tang, Yeda Wang, Zhanchuan Cai et al.
Counterfactual Identifiability via Dynamic Optimal Transport
Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad et al.
Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning
Wei Huang, Jianshu Zhang, Leiyu Wang et al.
A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers
Zhiyuan Wang, Jinwoo Go, Byung-Jun Yoon et al.
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
Po-Chen Kuo, Han Hou, Will Dabney et al.
Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
Junkai Zhang, Jinmin He, Yifan Zhang et al.
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay
Yifan Sun, Jingyan Shen, Yibin Wang et al.
Covariate-moderated Empirical Bayes Matrix Factorization
William Denault, Karl Tayeb, Peter Carbonetto et al.
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
Xiaoyu Zhan, Wenxuan Huang, Hao Sun et al.
Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval
Wenhao Li, Yuxin Zhang, Gen Luo et al.
Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
Gunshi Gupta, Karmesh Yadav, Zsolt Kira et al.
Extracting task-relevant preserved dynamics from contrastive aligned neural recordings
Yiqi Jiang, Kaiwen Sheng, Yujia Gao et al.
Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs
Zhixin Xie, Xurui Song, Jun Luo
DGH: Dynamic Gaussian Hair
Junying Wang, Yuanlu Xu, Edith Tretschk et al.
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh et al.
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
James Chapman, Kedar Karhadkar, Guido Montufar
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
Chunyu Wei, Wenji Hu, Xingjia Hao et al.
Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization
Weiming Liu, Xinting Liao, Jun Dan et al.
AliO: Output Alignment Matters in Long-Term Time Series Forecasting
Kwangryeol Park, Jaeho Kim, Seulki Lee
Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models
Qingsong Wang, Zhengchao Wan, Misha Belkin et al.
Private Set Union with Multiple Contributions
Travis Dick, Haim Kaplan, Alex Kulesza et al.
STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization
Fengshuo Bai, Rui Zhao, Hongming Zhang et al.
Online Time Series Forecasting with Theoretical Guarantees
Zijian Li, Changze Zhou, Minghao Fu et al.
Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior
Yulin Li, Haokun GUI, Ziyang Fan et al.
Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
Ishika Agarwal, Dilek Hakkani-Tur
Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
Bochen Lyu, Xiaojing Zhang, Fangyi Zheng et al.
MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation
Weisen Jiang, Sinno Pan
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar et al.
Learning Provably Improves the Convergence of Gradient Descent
Qingyu Song, Wei Lin, Hong Xu
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
Zefan Cai, Wen Xiao, Hanshi Sun et al.
PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset
Mintong Kang, Zhaorun Chen, Chejian Xu et al.
VisualLens: Personalization through Task-Agnostic Visual History
Wang Bill Zhu, Deqing Fu, Kai Sun et al.
The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets
Yatin Dandi, Luca Pesce, Lenka Zdeborová et al.
ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
Xiaolong Wang, Lixiang Ru, Ziyuan Huang et al.
Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
Raphaël Pellegrin, Lukas Fesser, Melanie Weber
PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors
Sepehr Dehdashtian, Mashrur Mahmud Morshed, Jacob Seidman et al.
Parsimonious Predictions for Strategyproof Scheduling
Richard Cole, Anupam Gupta, Pranav Jangir
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
Uzair Akbar, Niki Kilbertus, Hao Shen et al.
Retro-R1: LLM-based Agentic Retrosynthesis
Wei Liu, Jiangtao Feng, Hongli Yu et al.
Leveraging semantic similarity for experimentation with AI-generated treatments
Lei Shi, David Arbour, Raghavendra Addanki et al.
DISC: Dynamic Decomposition Improves LLM Inference Scaling
Jonathan Li, Wei Cheng, Benjamin Riviere et al.
From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
Tao Liu, Dafeng Zhang, Gengchen Li et al.
DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
Yifan WANG, Hongfeng Ai, ruiqi li et al.
Variational Supervised Contrastive Learning
Ziwen Wang, Jiajun Fan, Thao Nguyen et al.
Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
Jingyao Wang, Wenwen Qiang, Zeen Song et al.
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
Dominik Meier, Sujai Hiremath, PROMIT GHOSAL et al.
VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
Maonan Wang, Yirong Chen, Aoyu Pang et al.
Fix False Transparency by Noise Guided Splatting
Aly El Hakie, Yiren Lu, Yu Yin et al.
A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization
Hongxu Chen, Ke Wei, Haishan Ye et al.
Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies
Junyu Huang, Qilong Feng, Zhen Zhang et al.
Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models
Shenglong Zhou, Manjiang Yin, Leiyu Sun et al.
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
Yibo Zhao, Yang Zhao, Hongru Du et al.
Real-World Reinforcement Learning of Active Perception Behaviors
Edward Hu, Jie Wang, Xingfang Yuan et al.
Graph-based Symbolic Regression with Invariance and Constraint Encoding
Ziyu Xiang, Kenna Ashen, Xiaofeng Qian et al.
Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers
Zhuomeng Zhang, Fangqi Li, Hanyi Wang et al.
Squared families are useful conjugate priors
Russell Tsuchida, Jiawei Liu, Cheng Soon Ong et al.
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
Vinam Arora, Divyansha Lachi, Ian Knight et al.
Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
Dravyansh Sharma, Alec Sun
Stochastic Shortest Path with Sparse Adversarial Costs
Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke et al.
The Complexity of Correlated Equilibria in Generalized Games
Martino Bernasconi, Matteo Castiglioni, Andrea Celli et al.
Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies
Jiarui Gan, R Majumdar, Debmalya Mandal et al.
Linearization Explains Fine-Tuning in Large Language Models
Zahra Rahimi Afzal, Tara Esmaeilbeig, Mojtaba Soltanalian et al.
Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks
Andrea Montanari, Pierfrancesco Urbani
Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders
Jiahui Zhang, Wenjie Du, Yang Wang
Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
Yinlin Zhu, Xunkai Li, Jishuo Jia et al.
UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
guojun lei, Rong Zhang, Tianhang Liu et al.
Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
Leslie Hwang
Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits
Shogo Iwazaki
Diffusion Federated Dataset
SEOKJU HAHN, Junghye Lee
Efficient Adaptive Experimentation with Noncompliance
Miruna Oprescu, Brian Cho, Nathan Kallus
BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories
Wonjung Park, Suhyun Ahn, Maria Hernandez et al.
Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis
Zhijie Chen, Qiaobo Li, Arindam Banerjee
Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
Khanh-Hung (Bruce) Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen
Learning Repetition-Invariant Representations for Polymer Informatics
Yihan Zhu, Gang Liu, Eric Inae et al.
Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation
Yuyang Wanyan, Xi Zhang, Haiyang Xu et al.
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
Yisong Fu, Fei Wang, Zezhi Shao et al.
STACI: Spatio-Temporal Aleatoric Conformal Inference
Brandon Feng, David Park, Xihaier Luo et al.
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
Liwei Huang, Zhengyu Ma, Liutao Yu et al.
Enhancing CLIP Robustness via Cross-Modality Alignment
Xingyu Zhu, Beier Zhu, Shuo Wang et al.
LLM Unlearning via Neural Activation Redirection
William Shen, Xinchi Qiu, Meghdad Kurmanji et al.
Procurement Auctions with Predictions: Improved Frugality for Facility Location
Eric Balkanski, Nicholas DeFilippis, Vasilis Gkatzelis et al.
Superposition Yields Robust Neural Scaling
Yizhou Liu, Ziming Liu, Jeff Gore
Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
Jieyuan (Eric) Zhang, Xiaolong Zhou, Shuai Wang et al.
On Traceability in $\ell_p$ Stochastic Convex Optimization
Sasha Voitovych, Mahdi Haghifam, Idan Attias et al.
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Shukai Gong, YIYANG FU, Fengyuan Ran et al.
Deep Learning with Plausible Deniability
Wenxuan Bao, Shan Jin, Hadi Abdullah et al.
Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP
Shohei Ohsawa
VIKING: Deep variational inference with stochastic projections
Samuel Matthiesen, Hrittik Roy, Nicholas Krämer et al.
NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation
Longtian Qiu, Shan Ning, Jiaxuan Sun et al.
Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs
Yunfeng Liao, Yangxin Wu, Xiucheng Li
CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models
Benjamin Herdeanu, Juan Nathaniel, Carla Roesch et al.
EUGens: Efficient, Unified and General Dense Layers
Sang Min Kim, Byeongchan Kim, Arijit Sehanobish et al.
Versatile Transferable Unlearnable Example Generator
Zhihao Li, Jiale Cai, Gezheng Xu et al.
A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning
Yihuan Mao, Chongjie Zhang
Memory-Efficient Training with In-Place FFT Implementation
XINYU DING, Bangtian Liu, Siyu Liao et al.
Geometric Mixture Models for Electrolyte Conductivity Prediction
Anyi Li, Jiacheng Cen, Songyou Li et al.
BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
Hongyi Zhou, Weiran Liao, Xi Huang et al.
A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
Zhixiao Wu, Yao Lu, Jie Wen et al.
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code
Hainan Fang, Yuanbo Wen, Jun Bi et al.