Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case

16 June 2022

Papers citing "Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case"

6 / 6 papers shown

Title
LangVAE and LangSpace: Building and Probing for Language Model VAEs Danilo S. Carvalho Yingji Zhang Harriet Unsworth André Freitas 34 0 0 29 Mar 2025
Analyzing Generative Models by Manifold Entropic Metrics Daniel Galperin Ullrich Köthe DRL 16 0 0 25 Oct 2024
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 30 1 0 19 May 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 19 1 0 08 Apr 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 24 1 0 24 Mar 2023
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 53 49 0 12 Feb 2020