SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation
Fuente:
arXiv
Saved in:
| Main Author: | Wei, Yuan-Hao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AR-Flow VAE: A Structured Autoregressive Flow Prior Variational Autoencoder for Unsupervised Blind Source Separation
by: Wei, Yuan-Hao, et al.
Published: (2026)
by: Wei, Yuan-Hao, et al.
Published: (2026)
StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery
by: Wei, Yuan-Hao
Published: (2026)
by: Wei, Yuan-Hao
Published: (2026)
StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)
by: Wei, Yuan-Hao
Published: (2026)
PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA
by: Wei, Yuan-Hao, et al.
Published: (2026)
by: Wei, Yuan-Hao, et al.
Published: (2026)
StrEBM: A Structured Latent Energy-Based Model for Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)
by: Wei, Yuan-Hao
Published: (2026)
Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation
by: Sipilä, Mika, et al.
Published: (2025)
by: Sipilä, Mika, et al.
Published: (2025)
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
by: Xie, Tianyu, et al.
Published: (2025)
by: Xie, Tianyu, et al.
Published: (2025)
Sound Source Separation Using Latent Variational Block-Wise Disentanglement
by: Helwani, Karim, et al.
Published: (2024)
by: Helwani, Karim, et al.
Published: (2024)
Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
by: Webster, Matthew B., et al.
Published: (2023)
by: Webster, Matthew B., et al.
Published: (2023)
CoVAE: Consistency Training of Variational Autoencoders
by: Silvestri, Gianluigi, et al.
Published: (2025)
by: Silvestri, Gianluigi, et al.
Published: (2025)
eVAE: Evolutionary Variational Autoencoder
by: Wu, Zhangkai, et al.
Published: (2023)
by: Wu, Zhangkai, et al.
Published: (2023)
VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation
by: Xiao, Yi, et al.
Published: (2024)
by: Xiao, Yi, et al.
Published: (2024)
Effective Blind Source Separation Based on the Adam Algorithm
by: Scarpiniti, Michele, et al.
Published: (2016)
by: Scarpiniti, Michele, et al.
Published: (2016)
Disentanglement of Sources in a Multi-Stream Variational Autoencoder
by: Boukun, Veranika, et al.
Published: (2025)
by: Boukun, Veranika, et al.
Published: (2025)
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
by: Cao, Shichen, et al.
Published: (2019)
by: Cao, Shichen, et al.
Published: (2019)
ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders
by: Lygerakis, Fotios, et al.
Published: (2024)
by: Lygerakis, Fotios, et al.
Published: (2024)
Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
by: Reichart, Larissa, et al.
Published: (2025)
by: Reichart, Larissa, et al.
Published: (2025)
Distributed Blind Source Separation based on FastICA
by: Musluoglu, Cem Ates, et al.
Published: (2024)
by: Musluoglu, Cem Ates, et al.
Published: (2024)
VAE-MS: An Asymmetric Variational Autoencoder for Mutational Signature Extraction
by: Egendal, Ida, et al.
Published: (2026)
by: Egendal, Ida, et al.
Published: (2026)
Source Separation of Multi-source Raw Music using a Residual Quantized Variational Autoencoder
by: Berti, Leonardo
Published: (2024)
by: Berti, Leonardo
Published: (2024)
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
by: Xu, Zhongweiyang, et al.
Published: (2025)
by: Xu, Zhongweiyang, et al.
Published: (2025)
ARD-VAE: A Statistical Formulation to Find the Relevant Latent Dimensions of Variational Autoencoders
by: Saha, Surojit, et al.
Published: (2025)
by: Saha, Surojit, et al.
Published: (2025)
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping
by: Wei, Yuan-Hao, et al.
Published: (2024)
by: Wei, Yuan-Hao, et al.
Published: (2024)
VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
by: Bertucci, Donald, et al.
Published: (2024)
by: Bertucci, Donald, et al.
Published: (2024)
MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE
by: Chen, Zixuan, et al.
Published: (2026)
by: Chen, Zixuan, et al.
Published: (2026)
On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction
by: Muehlmann, Christoph, et al.
Published: (2020)
by: Muehlmann, Christoph, et al.
Published: (2020)
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
by: Sadat, Seyedmorteza, et al.
Published: (2024)
by: Sadat, Seyedmorteza, et al.
Published: (2024)
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2023)
by: Baykal, Gulcin, et al.
Published: (2023)
DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy
by: Dennig, Frederik L., et al.
Published: (2025)
by: Dennig, Frederik L., et al.
Published: (2025)
EEG-Based Emergency Braking Intensity Prediction Using Blind Source Separation
by: Zhou, Zikun, et al.
Published: (2026)
by: Zhou, Zikun, et al.
Published: (2026)
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)
by: Zhang, Likun, et al.
Published: (2025)
by: Zhang, Likun, et al.
Published: (2025)
Blind Separation of Vibration Sources using Deep Learning and Deconvolution
by: Makienko, Igor, et al.
Published: (2024)
by: Makienko, Igor, et al.
Published: (2024)
Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis
by: Webster, Matthew B., et al.
Published: (2025)
by: Webster, Matthew B., et al.
Published: (2025)
VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
by: Thomas, Aaron Mark, et al.
Published: (2024)
by: Thomas, Aaron Mark, et al.
Published: (2024)
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
by: Wagner-Carena, Sebastian, et al.
Published: (2025)
by: Wagner-Carena, Sebastian, et al.
Published: (2025)
Source Separation for A Cappella Music
by: Lanzendörfer, Luca A., et al.
Published: (2025)
by: Lanzendörfer, Luca A., et al.
Published: (2025)
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
by: Haselhoff, Anselm, et al.
Published: (2024)
by: Haselhoff, Anselm, et al.
Published: (2024)
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder
by: Zeng, Zezhen, et al.
Published: (2023)
by: Zeng, Zezhen, et al.
Published: (2023)
TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition
by: Kann, Bonpagna, et al.
Published: (2025)
by: Kann, Bonpagna, et al.
Published: (2025)
Multi-Component VAE with Gaussian Markov Random Field
by: Oubari, Fouad, et al.
Published: (2025)
by: Oubari, Fouad, et al.
Published: (2025)
Similar Items
-
AR-Flow VAE: A Structured Autoregressive Flow Prior Variational Autoencoder for Unsupervised Blind Source Separation
by: Wei, Yuan-Hao, et al.
Published: (2026) -
StrTransformer: Source-Wise Structured Transformers for Unsupervised Blind Source Recovery
by: Wei, Yuan-Hao
Published: (2026) -
StrADiff: A Structured Source-Wise Adaptive Diffusion Framework for Linear and Nonlinear Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026) -
PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA
by: Wei, Yuan-Hao, et al.
Published: (2026) -
StrEBM: A Structured Latent Energy-Based Model for Blind Source Separation
by: Wei, Yuan-Hao
Published: (2026)