Imagen de Portada

Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wei, Yuan-Hao, Sun, Yan-Jie, Zhang, Chen
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

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)

GQ-VAE: A gated quantized VAE for learning variable length tokens
por: Datta, Theo, et al.
Publicado: (2025)

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

DeCo-VAE: Learning Compact Latents for Video Reconstruction via Decoupled Representation
por: Yin, Xiangchen, et al.
Publicado: (2025)

L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation
por: Ozcan, Hazal Mogultay, et al.
Publicado: (2025)

Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
por: Wasswa, Hassan, et al.
Publicado: (2025)

Quantize-then-Rectify: Efficient VQ-VAE Training
por: Zhang, Borui, et al.
Publicado: (2025)

HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE
por: Wei, Zikai, et al.
Publicado: (2023)

Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data
por: Santos, Paula
Publicado: (2025)

Density-Informed VAE (DiVAE): Reliable Log-Prior Probability via Density Alignment Regularization
por: Alessi, Michele, et al.
Publicado: (2025)

Iterative Amortized Hierarchical VAE
por: Penninga, Simon W., et al.
Publicado: (2026)

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
por: Louiset, Robin, 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)

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

How Neural Losses Shape VAE Latents
por: Strano, Giorgio, et al.
Publicado: (2026)

A VAE Approach to Sample Multivariate Extremes
por: Lafon, Nicolas, et al.
Publicado: (2023)

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

On the Mechanisms of Collaborative Learning in VAE Recommenders
por: Vuong, Tung-Long, et al.
Publicado: (2025)

SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
por: Chen, Hao, et al.
Publicado: (2024)

CausalVAE as a Plug-in for World Models: Towards Reliable Counterfactual Dynamics
por: Ding, Ziyi, et al.
Publicado: (2026)

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

TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE
por: Wei, Jiawen, et al.
Publicado: (2025)

Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation
por: Gong, Zimu, et al.
Publicado: (2026)

VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification
por: Wu, Hongfei, et al.
Publicado: (2026)

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

Support is All You Need for Certified VAE Training
por: Xu, Changming, et al.
Publicado: (2025)

Multi-Component VAE with Gaussian Markov Random Field
por: Oubari, Fouad, et al.
Publicado: (2025)

Distillation of a tractable model from the VQ-VAE
por: Hadžić, Armin, et al.
Publicado: (2025)

Improving Conditional VAE with Non-Volume Preserving transformations
por: De, Tuhin Subhra
Publicado: (2025)

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
por: Wu, Xingjian, et al.
Publicado: (2025)

A Novel VAE-DML Fusion Framework for Causal Analysis of Greenwashing in the Mining Industry
por: Lu, Yuxin, et al.
Publicado: (2026)

CoVAE: correlated multimodal generative modeling
por: Caretti, Federico, et al.
Publicado: (2026)

Bounding Evidence and Estimating Log-Likelihood in VAE
por: Struski, Łukasz, et al.
Publicado: (2022)

VAE for Modified 1-Hot Generative Materials Modeling, A Step Towards Inverse Material Design
por: El-Awady, Khalid
Publicado: (2023)

Compressing VAE-Based Out-of-Distribution Detectors for Embedded Deployment
por: Bansal, Aditya, et al.
Publicado: (2024)

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