📚 文献库
Literature Library

Second-Order Path Kernel Interpolation Formulas in Machine 学习 (Learning)

Second-Order Path Kernel Interpolation Formulas in Machine Learning

作者
Authors: Jin Guo | Roy Y. He | Jean-Michel Morel 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 76 📚 9

Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees

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

👁 65 📚 1

Nonreversible Gauge Fields in Fokker--Planck Dynamics: Supersymmetric Hamiltonians and Learned Finit...

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

👁 147 📚 0

Causal Atlases from Entropic 推断 (Inference): 贝叶斯 (Bayesian) Networks beyond Optimal DAGs

Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs

作者
Authors: Hazhir Aliahmadi | Irina Babayan | Greg van Anders 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 208 📚 19

HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers

作者
Authors: Lizhi Yang | Junheng Li | Nehar Poddar | Yiling Ho... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 23 📚 2

Reinforcement 学习 (Learning) from Rich Feedback with Distributional DAgger

Reinforcement Learning from Rich Feedback with Distributional DAgger

作者
Authors: Rishabh Agrawal | Jacob Fein-Ashley | Paria Rashid... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 82 📚 3

Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss

作者
Authors: Prashant Shekhar | Caroline Howard 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 202 📚 16

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill

作者
Authors: Tao Chen | Gangwei Jiang | Pengyu Cheng | Siyuan H... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 44 📚 27

IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated 学习 (Learning)

IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning

作者
Authors: Farhin Farhad Riya | Olivera Kotevska | Jinyuan St... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 213 📚 29

The Dynamic-Probabilistic Consistency Gap in Chaotic Surrogate 模型 (Model)ing

The Dynamic-Probabilistic Consistency Gap in Chaotic Surrogate Modeling

作者
Authors: Andre Herz | Matthijs Pals | Daniel Durstewitz | G... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 177 📚 25

A Tight Theory of Error Feedback Algorithms in Distributed 优化 (Optimization)

A Tight Theory of Error Feedback Algorithms in Distributed Optimization

作者
Authors: Daniel Berg Thomsen | Adrien Taylor | Aymeric Dieu... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 132 📚 4

SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations

作者
Authors: Qinpei Luo | Ruichun Ma | Xinyu Zhang | Lili Qiu 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 178 📚 25

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation

作者
Authors: Jiahe Pan | Stelian Coros | Jitendra Malik | Toru ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 125 📚 14

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding

作者
Authors: Shihao Wang | Shilong Liu | Yuanguo Kuang | Xinyu ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 100 📚 7

Squeezing Capacity from Multimodal Large Language 模型 (Model)s for Subject-driven Generation

Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation

作者
Authors: Shuhong Zheng | Aashish Kumar Misraa | Yu-Teng Li ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 174 📚 23

On the Stability of Spherical Hellinger-Kantorovich Flows and Their Implications for Differential Pr...

作者
Authors: Aratrika Mustafi | Soumya Mukherjee 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 142 📚 11

Complete-muE: Optimal Hyperparameter Transfer and Scaling for MoE 模型 (Model)s

Complete-muE: Optimal Hyperparameter Transfer and Scaling for MoE Models

作者
Authors: Hongwu Peng | Ohiremen Dibua | Yuanjun Xiong | Yif... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 76 📚 25

SDPM: Survival Diffusion Probabilistic 模型 (Model) for Continuous-Time Survival 分析 (Analysis)

SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis

作者
Authors: Stanislav R. Kirpichenko | Andrei V. Konstantinov ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 177 📚 29

Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting 模型 (Model)s

Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models

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

👁 96 📚 20

The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation 学习 (...

The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Lear...

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

👁 151 📚 14