Challenges in Disentangling Independent Factors of Variation

Challenges in Disentangling Independent Factors of Variation

7 November 2017

Tiziano Portenier

Matthias Zwicker

Papers citing "Challenges in Disentangling Independent Factors of Variation"

10 / 10 papers shown

Title
Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks Minia Manteiga Raúl Santoveña Marco A. Álvarez Carlos Dafonte Manuel G. Penedo S. Navarro L. Corral 36 0 0 20 Jan 2025
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis Patrick Esser Robin Rombach A. Blattmann Bjorn Ommer DiffM 38 156 0 19 Aug 2021
iCaps: An Interpretable Classifier via Disentangled Capsule Networks Dahuin Jung Jonghyun Lee Jihun Yi Sungroh Yoon 28 12 0 20 Aug 2020
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding David A. Klindt Lukas Schott Yash Sharma Ivan Ustyuzhaninov Wieland Brendel Matthias Bethge Dylan M. Paiton CML 48 132 0 21 Jul 2020
Guided Variational Autoencoder for Disentanglement Learning Zheng Ding Yifan Xu Weijian Xu Gaurav Parmar Yang Yang Max Welling Z. Tu DRL CoGe 34 106 0 02 Apr 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Demystifying Inter-Class Disentanglement Aviv Gabbay Yedid Hoshen DRL 16 56 0 27 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 25 4 0 03 Jun 2019
Disentangling Latent Hands for Image Synthesis and Pose Estimation Linlin Yang Angela Yao CoGe DRL 28 116 0 03 Dec 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018