📚 文献库
Literature Library

Binary Discrete Diffusion: Candidate-Set Diffusion for Logic and Planning Tasks

作者
Authors: Rodrigo Casado Noguerales | Dimitri von Rütte | Be... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 171 📚 30

学习 (Learning) Adaptable Dexterous Skills via Hybrid Dexterous Mimicking

Learning Adaptable Dexterous Skills via Hybrid Dexterous Mimicking

作者
Authors: Yuxuan Kuang | Jiashun Wang | Yixuan Sun | Yufei Y... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 155 📚 1

学习 (Learning) to Refer: 推断 (Inference)-Time Collaboration in Decentralized Federated 学习 (Learning)

Learning to Refer: Inference-Time Collaboration in Decentralized Federated Learning

作者
Authors: Yuheng Ma | Chendi Wang | Qiong Zhang 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 204 📚 9

CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting

作者
Authors: Zehao Wang | Jianpeng Yao | Yuping Wang | Yiping L... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 35 📚 13

Task-aligned spectral inductive biases in parameterized quantum circuits

作者
Authors: Felix Frohnert | Adrián Pérez-Salinas | Sebastian ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 100 📚 20

SurvICL: a Foundation 模型 (Model) for in-context Survival 分析 (Analysis)

SurvICL: a Foundation Model for in-context Survival Analysis

作者
Authors: Julie Alberge | Linus Bleistein | Judith Abécassis... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 158 📚 15

Explore Once, Evaluate Many: Multiple Policy Evaluation for Stochastic Linear Bandits

作者
Authors: Spyros Dragazis | Yilei Chen | Aldo Pacchiano 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 93 📚 29

PathFM: Fast Generative Forecasting of Multivariate Trajectories

作者
Authors: Jiachen Yao | Xiyuan Zhang | Annan Yu | Boran Han ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 119 📚 22

Testing Conditional Distribution Equality Using Generative 模型 (Model)s

Testing Conditional Distribution Equality Using Generative Models

作者
Authors: Zekai Jin | Yi Zhang | Yun Yang | Xiaofeng Shao 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 162 📚 11

Hierarchical Residual Policy 学习 (Learning) for Real-World Mobile Manipulation with Sparse Human Guid...

Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance

作者
Authors: Zhefei Gong | Hefeifei Jiang | Zehao Wang | Jiache... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 41 📚 12

Joint Neural Posterior 估计 (Estimation) and 模型 (Model) Selection for Chemical Reaction Networks

Joint Neural Posterior Estimation and Model Selection for Chemical Reaction Networks

作者
Authors: J. Arturo Esquivel | Jorge A. Campos-Gonzalez-Angu... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 132 📚 7

What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study

作者
Authors: Mingxuan Yan | Litian Gong | Dihong Huang | Zhixu ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 213 📚 14

Hitting-Time Bounds for Asynchronous Q-学习 (Learning)

Hitting-Time Bounds for Asynchronous Q-Learning

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

👁 124 📚 4

Markov Chain Convergence in Kernel-Induced Geometry

作者
Authors: Oleksii Kachaiev | Luc Brogat-Motte | Silvia Villa... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 62 📚 25

Constructive Bounds for the Topological Expressivity of 神经网络 (Neural Network)s

Constructive Bounds for the Topological Expressivity of Neural Networks

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

👁 168 📚 26

Closing the Horizon Gap in Policy 优化 (Optimization) for Adversarial MDPs

Closing the Horizon Gap in Policy Optimization for Adversarial MDPs

作者
Authors: Mingyi Li | Taira Tsuchiya 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 56 📚 2

Bilevel optimization for data-driven learning of Koopman embeddings using kernel-based autoencoders

作者
Authors: Joel-Pascal Ntwali N'konzi | Feliks Nüske | Stefan... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 210 📚 2

Density Ratio 估计 (Estimation) with Stein Displacement Fields

Density Ratio Estimation with Stein Displacement Fields

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

👁 130 📚 14

A Balanced 数据 (Data) Diet: Addressing the Exploration Bottleneck in Mega-Scale RL for Robot Control

A Balanced Data Diet: Addressing the Exploration Bottleneck in Mega-Scale RL for Robot Control

作者
Authors: Octi Zhang | Mateo Guaman Castro | Patrick Yin | I... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 167 📚 14

Why Forget-Only Unlearning Needs Memorization

作者
Authors: Luka Radić | Vikrant Singhal | Amartya Sanyal 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 157 📚 13