📚 文献库
Literature Library

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

👁 114 📚 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

👁 114 📚 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

👁 132 📚 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

👁 52 📚 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

👁 183 📚 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

👁 151 📚 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

👁 107 📚 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

👁 201 📚 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

👁 24 📚 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

👁 158 📚 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

👁 57 📚 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

👁 159 📚 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

👁 140 📚 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

👁 154 📚 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

👁 178 📚 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

👁 200 📚 17

MulTTiPop: A Multitrack Transcription 数据 (Data)set for Pop Music

MulTTiPop: A Multitrack Transcription Dataset for Pop Music

作者
Authors: Nathan Pruyne | Benjamin Stoler | William Chen | C... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 192 📚 5

Avoiding unsafe sets when training with Langevin Dynamics

作者
Authors: Adam M. Oberman 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 22 📚 17

The Key to Going Linear: 分析 (Analysis)-Driven Transformer Linearization

The Key to Going Linear: Analysis-Driven Transformer Linearization

作者
Authors: Anna Kuzina | Paul N. Whatmough | Babak Ehteshami ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 62 📚 13

Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

作者
Authors: Shervin Khalafi | Igor Krawczuk | Sergio Rozada | ... 期刊
Journal: arXiv 年份
Year: 2026 分类
Category: 深度学习
Deep Learning

👁 153 📚 14