Cover Image

Structured Diffusion Models with Mixture of Gaussians as Prior Distribution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Nanshan, Zhu, Tingyu, Liu, Haoyu, Zheng, Zeyu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation
by: Zhu, Tingyu, et al.
Published: (2024)

End-To-End Learning of Gaussian Mixture Priors for Diffusion Sampler
by: Blessing, Denis, et al.
Published: (2025)

Selection of the Best Policy under Fairness Constraints for Subpopulations
by: Zhu, Tingyu, et al.
Published: (2026)

Go With the Flow: Fast Diffusion for Gaussian Mixture Models
by: Rapakoulias, George, et al.
Published: (2024)

Prior Diffusiveness and Regret in the Linear-Gaussian Bandit
by: Zhu, Yifan, et al.
Published: (2026)

Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
by: Zhang, Mingxuan, et al.
Published: (2024)

Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient
by: Lu, Weiguo, et al.
Published: (2024)

Temporally Extended Mixture-of-Experts Models
by: Shen, Zeyu, et al.
Published: (2026)

Local Minima Structures in Gaussian Mixture Models
by: Chen, Yudong, et al.
Published: (2020)

A Multimodal Conditional Mixture Model with Distribution-Level Physics Priors
by: Han, Jinkyo, et al.
Published: (2026)

Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions
by: Rauf, Hafiz Tayyab, et al.
Published: (2024)

The VampPrior Mixture Model
by: Stirn, Andrew A., et al.
Published: (2024)

Road Maps as Free Geometric Priors: Weather-Invariant Drone Geo-Localization with GeoFuse
by: Fang, Yunsong, et al.
Published: (2026)

Universality of Gaussian-Mixture Reverse Kernels in Conditional Diffusion
by: Ishtiaque, Nafiz, et al.
Published: (2026)

Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models
by: Wu, Yuchen, et al.
Published: (2024)

Diffusion Models as Dataset Distillation Priors
by: Su, Duo, et al.
Published: (2025)

Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
by: Klötzl, Daniel, et al.
Published: (2025)

Federated Gaussian Mixture Models
by: Pettersson, Sophia Zhang, et al.
Published: (2025)

PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA
by: Wei, Yuan-Hao, et al.
Published: (2026)

Learning Mixtures of Gaussians Using Diffusion Models
by: Gatmiry, Khashayar, et al.
Published: (2024)

Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
by: Adams, Steven, et al.
Published: (2024)

Online Functional Principal Component Analysis on a Multidimensional Domain
by: Nanshan, Muye, et al.
Published: (2025)

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors
by: Sefidgaran, Milad, et al.
Published: (2025)

Model Selection and Parameter Estimation of Multi-dimensional Gaussian Mixture Model
by: Liu, Xinyu, et al.
Published: (2026)

AutoGMM: Automatic Gaussian Mixture Modeling in Python
by: Liu, Tingshan, et al.
Published: (2019)

Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures
by: Li, Gen, et al.
Published: (2025)

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
by: Guan, Jiaqi, et al.
Published: (2024)

Prior Distribution and Model Confidence
by: Kazanskii, Maksim, et al.
Published: (2025)

Individual-heterogeneous sub-Gaussian Mixture Models
by: Qing, Huan
Published: (2026)

Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport
by: Wang, Zhanpeng, et al.
Published: (2024)

Gaussian Process-Gated Hierarchical Mixtures of Experts
by: Liu, Yuhao, et al.
Published: (2023)

Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks
by: Liu, Haoyu, et al.
Published: (2026)

Spatial Covariance Constraints for Gaussian Mixture Models
by: Lu, Hanzhang, et al.
Published: (2026)

Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data Distributions
by: Pierret, Emile, et al.
Published: (2025)

AGMA: Adaptive Gaussian Mixture Anchors for Prior-Guided Multimodal Human Trajectory Forecasting
by: Li, Chao, et al.
Published: (2026)

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior
by: Sefidgaran, Milad, et al.
Published: (2025)

Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models
by: Liu, Xinyu, et al.
Published: (2024)

Mixture of Link Predictors on Graphs
by: Ma, Li, et al.
Published: (2024)

Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk
by: Simchi-Levi, David, et al.
Published: (2023)

Fuel Efficiency Analysis of the Public Transportation System Based on the Gaussian Mixture Model Clustering
by: Ma, Zhipeng, et al.
Published: (2025)