Imagen de Portada

PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wei, Yuan-Hao, Sun, Yan-Jie
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

AR-Flow VAE: A Structured Autoregressive Flow Prior Variational Autoencoder for Unsupervised Blind Source Separation
por: Wei, Yuan-Hao, et al.
Publicado: (2026)

SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation
por: Wei, Yuan-Hao
Publicado: (2026)

Structured Kernel Regression VAE: A Computationally Efficient Surrogate for GP-VAEs in ICA
por: Wei, Yuan-Hao, et al.
Publicado: (2025)

Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping
por: Wei, Yuan-Hao, et al.
Publicado: (2024)

ARD-VAE: A Statistical Formulation to Find the Relevant Latent Dimensions of Variational Autoencoders
por: Saha, Surojit, et al.
Publicado: (2025)

CoVAE: Consistency Training of Variational Autoencoders
por: Silvestri, Gianluigi, et al.
Publicado: (2025)

Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis
por: Wei, Yuan-Hao, et al.
Publicado: (2025)

eVAE: Evolutionary Variational Autoencoder
por: Wu, Zhangkai, et al.
Publicado: (2023)

VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation
por: Xiao, Yi, et al.
Publicado: (2024)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
por: Haselhoff, Anselm, et al.
Publicado: (2024)

Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE)
por: Fan, Tiffany, et al.
Publicado: (2025)

Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
por: Cao, Shichen, et al.
Publicado: (2019)

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

ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders
por: Lygerakis, Fotios, et al.
Publicado: (2024)

Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models
por: Campos, Enrique Mármol, et al.
Publicado: (2024)

VAE-MS: An Asymmetric Variational Autoencoder for Mutational Signature Extraction
por: Egendal, Ida, et al.
Publicado: (2026)

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE
por: Chen, Zixuan, et al.
Publicado: (2026)

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
por: Sadat, Seyedmorteza, et al.
Publicado: (2024)

Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders
por: Jiang, Junqi, et al.
Publicado: (2025)

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
por: Xie, Tianyu, et al.
Publicado: (2025)

Bayesian ICA with super-Gaussian Source Priors
por: Datta, Jyotishka, et al.
Publicado: (2024)

VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
por: Bertucci, Donald, et al.
Publicado: (2024)

EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
por: Baykal, Gulcin, et al.
Publicado: (2023)

DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy
por: Dennig, Frederik L., et al.
Publicado: (2025)

Structured Diffusion Models with Mixture of Gaussians as Prior Distribution
por: Jia, Nanshan, et al.
Publicado: (2024)

Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)
por: Zhang, Likun, et al.
Publicado: (2025)

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

VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
por: Thomas, Aaron Mark, et al.
Publicado: (2024)

Adaptive Exponential Integration for Stable Gaussian Mixture Black-Box Variational Inference
por: Che, Baojun, et al.
Publicado: (2026)

On the Identifiability of Nonlinear ICA: Sparsity and Beyond
por: Zheng, Yujia, et al.
Publicado: (2022)

Variational Inference with Mixtures of Isotropic Gaussians
por: Petit-Talamon, Marguerite, et al.
Publicado: (2025)

Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
por: Zhu, Menghao Waiyan William, et al.
Publicado: (2025)

PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders
por: Spitieris, Michail, et al.
Publicado: (2025)

TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition
por: Kann, Bonpagna, et al.
Publicado: (2025)

Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
por: Wasswa, Hassan, et al.
Publicado: (2025)

StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation
por: Wei, Yuan-Hao
Publicado: (2026)

Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling
por: Shi, Xinxing, et al.
Publicado: (2025)

On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
por: Ng, Ignavier, et al.
Publicado: (2024)

Stability Enhanced Gaussian Process Variational Autoencoders
por: Richardson, Carl R., et al.
Publicado: (2026)

Hierarchical VAE with a Diffusion-based VampPrior
por: Kuzina, Anna, et al.
Publicado: (2024)