📚 文献库
Literature Library

Expanding Flow Maps

作者
Authors: Sophia Tang | Pranam Chatterjee 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 52 📚 21

Adaptive deep nonparametric regression from dependent data under covariate shift

作者
Authors: William Kengne | Ehud Mossa Ockegna 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 44 📚 9

Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement 学习 (Learni...

Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement Learning

作者
Authors: Nicolas Kosanovic | Jordan Dowdy | Jean Chagas Vaz 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 110 📚 28

Fundamental limits of distributed multiclass classification from simple binary decisions

作者
Authors: Ioannis Papageorgiou | Srinivas Nomula | Ayalvadi ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 165 📚 20

Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS

作者
Authors: Yihong Gu | Katherine Liao | Tianxi Cai 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 130 📚 13

Patch Policy: Efficient Embodied Control via Dense Visual Representations

作者
Authors: Gaoyue Zhou | Zichen Jeff Cui | Ada Langford | Bow... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 130 📚 17

Cluster-Aware Matching via Laplacian Optimal Transport

作者
Authors: Gabriel Samberg | YoonHaeng Hur | Yuehaw Khoo | Ni... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 147 📚 10

A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing

作者
Authors: Owen Lockwood | Jérémy Béjanin | Joost Bus | Chris... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 69 📚 0

Subjective Risk Decomposition: A New View for Uncertainty Quantification

作者
Authors: Raghad Alamri | Michele Caprio | Gavin Brown 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 198 📚 24

MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators

作者
Authors: Yushi Huang | Xiangxin Zhou | Jun Zhang | Liefeng ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 163 📚 24

Minimax Theory of Likelihood-Based Deep 学习 (Learning) for Speckle 回归 (Regression)

Minimax Theory of Likelihood-Based Deep Learning for Speckle Regression

作者
Authors: Soham Jana 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 126 📚 5

Linear Independent Component 分析 (Analysis) via Optimal Transport

Linear Independent Component Analysis via Optimal Transport

作者
Authors: Ashutosh Jha | Michel Besserve | Simon Buchholz 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 217 📚 4

Ensemble Controlled-Flow Filtering for Implicit 数据 (Data) Assimilation

Ensemble Controlled-Flow Filtering for Implicit Data Assimilation

作者
Authors: Zhuoyuan Li | Yue Zhao | Ming Li 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 36 📚 30

TerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale

作者
Authors: Zhouchonghao Wu | Akshay Rangesh | Weixin Li | Wei... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 169 📚 1

Relaxing Faithfulness with Intervention-Only Causal Discovery

作者
Authors: Bijan Mazaheri | Jiaqi Zhang | Caroline Uhler 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 73 📚 1

Invariant 学习 (Learning) Dynamics of Transformers in Inductive Reasoning Tasks

Invariant Learning Dynamics of Transformers in Inductive Reasoning Tasks

作者
Authors: Tiberiu Musat | Tiago Pimentel | Nicholas Zucchet ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 170 📚 27

Dynamic Frechet 回归 (Regression) with Feature Selection for Distributional 数据 (Data)

Dynamic Frechet Regression with Feature Selection for Distributional Data

作者
Authors: Kiran Adhikari | Amrutha Dinesh | Mathew Kuttolama... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 174 📚 30

Semantic Pareto-DQN: A Multi-Objective Reinforcement 学习 (Learning) Framework for Financial Anomaly D...

Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detect...

作者
Authors: Cláudio Lúcio do Val Lopes | Lucca Machado da Silv... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 165 📚 21

统计 (Statistical) Efficiency and 推断 (Inference) of Quantile Distributional Reinforcement 学习 (Learning...

Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning

作者
Authors: Zijie Cheng | Yang Peng | Zhihua Zhang 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 190 📚 8

High-Dimensional Procrustes Matching via Tree Counts

作者
Authors: Xiaochun Niu | Tselil Schramm | Jiaming Xu 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 212 📚 17