:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Zichen, Zhang, Wei, Li, Tiejun
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2505.09922
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Riemannian Denoising Diffusion Probabilistic Models
par: Liu, Zichen, et autres
Publié: (2025)

Free Energy Surface Sampling via Reduced Flow Matching
par: Liu, Zichen, et autres
Publié: (2026)

Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity
par: Zhang, Zixuan, et autres
Publié: (2026)

Asymptotic Learning Curves for Diffusion Models with Random Features Score and Manifold Data
par: George, Anand Jerry, et autres
Publié: (2026)

Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks
par: Fang, Yong, et autres
Publié: (2025)

Riemannian MeanFlow for One-Step Generation on Manifolds
par: Zhong, Zichen, et autres
Publié: (2026)

ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition
par: Rahimi, Parsa, et autres
Publié: (2025)

Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization
par: Zhou, Tailin, et autres
Publié: (2025)

Smoothing the Score Function for Generalization in Diffusion Models: An Optimization-based Explanation Framework
par: Zhou, Xinyu, et autres
Publié: (2026)

Manifold Regularization Classification Model Based On Improved Diffusion Map
par: Guo, Hongfu, et autres
Publié: (2024)

Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
par: Li, Zhongyang, et autres
Publié: (2025)

Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS
par: Zheng, Liangwei Nathan, et autres
Publié: (2025)

Laplacian Score Sharpening for Mitigating Hallucination in Diffusion Models
par: C, Barath Chandran., et autres
Publié: (2025)

Rao-Blackwellized Score Matching on Manifolds
par: Rawal, Divit
Publié: (2026)

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds
par: Fu, Guoji, et autres
Publié: (2026)

Score Matching for Truncated Density Estimation on a Manifold
par: Williams, Daniel J., et autres
Publié: (2022)

Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
par: Wang, Zichen, et autres
Publié: (2025)

Supervised Manifold Learning for Functional Data
par: Tan, Ruoxu, et autres
Publié: (2025)

Geometry of Singular Foliations and Learning Manifolds in ReLU Networks via the Data Information Matrix
par: Tron, Eliot, et autres
Publié: (2024)

What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold
par: Azeglio, Simone, et autres
Publié: (2025)

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
par: Li, Liuzhuozheng, et autres
Publié: (2026)

Score-based Generative Diffusion Models for Social Recommendations
par: Liu, Chengyi, et autres
Publié: (2024)

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
par: Fang, Zhengyu, et autres
Publié: (2024)

Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
par: Palma, Alessandro, et autres
Publié: (2025)

Manifold Generalization Provably Proceeds Memorization in Diffusion Models
par: Shen, Zebang, et autres
Publié: (2026)

When Scores Learn Geometry: Rate Separations under the Manifold Hypothesis
par: Li, Xiang, et autres
Publié: (2025)

Mitigating Exposure Bias in Score-Based Generation of Molecular Conformations
par: Wang, Sijia, et autres
Publié: (2024)

Manifold Diffusion Fields
par: Elhag, Ahmed A., et autres
Publié: (2023)

Improving Compositional Generation with Diffusion Models Using Lift Scores
par: Yu, Chenning, et autres
Publié: (2025)

Mitigating Overthinking in Large Reasoning Models via Manifold Steering
par: Huang, Yao, et autres
Publié: (2025)

MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
par: Wang, Mengyu, et autres
Publié: (2024)

Summoning the Oracle to Slay It: Mitigating Look-Ahead Bias in Financial Backtesting with Large Language Models
par: Li, Weixian Waylon, et autres
Publié: (2026)

Manifold Aware Denoising Score Matching (MAD)
par: Levy-Jurgenson, Alona, et autres
Publié: (2026)

Understanding and Mitigating the High Computational Cost in Path Data Diffusion
par: Shi, Dingyuan, et autres
Publié: (2025)

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
par: Jo, Jaehyeong, et autres
Publié: (2023)

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
par: Zhang, Hengrui, et autres
Publié: (2023)

Manifold Topological Deep Learning for Biomedical Data
par: Liu, Xiang, et autres
Publié: (2025)

GeoEdit: Local Frames for Fast, Training-Free On-Manifold Editing in Diffusion Models
par: Zhang, Yiming, et autres
Publié: (2026)

Sampling Binary Data by Denoising through Score Functions
par: Bach, Francis, et autres
Publié: (2025)

MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores
par: Zhou, Fengwei, et autres
Publié: (2025)