Cover Image

Adaptive Compression of the Latent Space in Variational Autoencoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sejnova, Gabriela, Vavrecka, Michal, Stepanova, Karla
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit
by: Sejnova, Gabriela, et al.
Published: (2022)

Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks
by: Sejnova, Gabriela, et al.
Published: (2024)

PRAG: Procedural Action Generator
by: Vavrecka, Michal, et al.
Published: (2025)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
by: Rao, Xuan, et al.
Published: (2022)

Preserving Seasonal and Trend Information: A Variational Autoencoder-Latent Space Arithmetic Based Approach for Non-stationary Learning
by: Wasswa, Hassan, et al.
Published: (2025)

Enhancing Variational Autoencoders with Smooth Robust Latent Encoding
by: Lee, Hyomin, et al.
Published: (2025)

Bidirectional Variational Autoencoders
by: Kosko, Bart, et al.
Published: (2025)

Variational Autoencoder-Based Approach to Latent Feature Analysis on Efficient Representation of Power Load Monitoring Data
by: Xie, Boyu, et al.
Published: (2025)

Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis
by: Xu, Haowen, et al.
Published: (2024)

Hellinger Multimodal Variational Autoencoders
by: Vo, Huyen, et al.
Published: (2026)

Generalized Graph Transformer Variational Autoencoder
by: Karki, Siddhant
Published: (2025)

Variational Autoencoders for Efficient Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2024)

Poisson Variational Autoencoder
by: Vafaii, Hadi, et al.
Published: (2024)

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
by: Qu, Xingwei, et al.
Published: (2025)

Inverse design of Non-parameterized Ventilated Acoustic Resonator via Variational Autoencoder with Acoustic Response-encoded Latent Space
by: Cho, Min Woo, et al.
Published: (2024)

CLAIRE: Compressed Latent Autoencoder for Industrial Representation and Evaluation -- A Deep Learning Framework for Smart Manufacturing
by: Ghahramani, Mohammadhossein, et al.
Published: (2026)

Variational Rank Reduction Autoencoders for Generative Thermal Design
by: Tierz, Alicia, et al.
Published: (2025)

Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021)

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

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks
by: Qiu, Yixuan, et al.
Published: (2024)

A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders
by: Zhang, Zegu, et al.
Published: (2026)

Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation
by: Silva, Aníbal, et al.
Published: (2026)

Discrete Variational Autoencoding via Policy Search
by: Drolet, Michael, et al.
Published: (2025)

Superposition as Lossy Compression: Measure with Sparse Autoencoders and Connect to Adversarial Vulnerability
by: Bereska, Leonard, et al.
Published: (2025)

Semantic Optimal Transport for Sparse Autoencoder Feature Matching and Circuit Compression
by: Cao, Tue M., et al.
Published: (2026)

GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance
by: Bresson, Roman, et al.
Published: (2026)

Variational Autoencoders for P-wave Detection on Strong Motion Earthquake Spectrograms
by: Ispak, Turkan Simge, et al.
Published: (2026)

Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders
by: Stevens, Alexander, et al.
Published: (2024)

Searching Latent Program Spaces
by: Macfarlane, Matthew V, et al.
Published: (2024)

Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)
by: Finkelstein, Alex, et al.
Published: (2026)

Remedying uncertainty representations in visual inference through Explaining-Away Variational Autoencoders
by: Catoni, Josefina, et al.
Published: (2024)

Uncertainty-Aware Generative Oversampling Using an Entropy-Guided Conditional Variational Autoencoder
by: Zare, Amirhossein, et al.
Published: (2025)

Drift-Aware Variational Autoencoder-based Anomaly Detection with Two-level Ensembling
by: Li, Jin, et al.
Published: (2026)

ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
by: Sauter, Andreas, et al.
Published: (2025)

Latent Diffusion : Multi-Dimension Stable Diffusion Latent Space Explorer
by: Zhong, Zhihua, et al.
Published: (2025)

Sparse $L^1$-Autoencoders for Scientific Data Compression
by: Chung, Matthias, et al.
Published: (2024)

Optimization of Latent-Space Compression using Game-Theoretic Techniques for Transformer-Based Vector Search
by: Agrawal, Kushagra, et al.
Published: (2025)

Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Compression of Deep Neural Networks
by: Cichocki, Andrzej, et al.
Published: (2026)

Adaptive Sparse Allocation with Mutual Choice & Feature Choice Sparse Autoencoders
by: Ayonrinde, Kola
Published: (2024)

Phase-Type Variational Autoencoders for Heavy-Tailed Data
by: Ziani, Abdelhakim, et al.
Published: (2026)