SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent
Factor Swapping

SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping

21 September 2022

Hanchen Xie

Wael AbdAlmageed

Papers citing "SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping"

3 / 3 papers shown

Title
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis Cécile Trottet Manuel Schürch Ahmed Allam Imon Barua L. Petelytska ... Mislav Radic Oliver Distler A. Hoffmann-Vold Michael Krauthammer Eustar collaborators MedIm 27 0 0 16 Jul 2024
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes Cécile Trottet Manuel Schürch Ahmed Allam Imon Barua L. Petelytska Oliver Distler A. Hoffmann-Vold Michael Krauthammer Eustar collaborators 35 2 0 14 Nov 2023
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 181 313 0 07 Feb 2020