Relative gradient optimization of the Jacobian term in unsupervised deep learning

26 June 2020

Papers citing "Relative gradient optimization of the Jacobian term in unsupervised deep learning"

7 / 7 papers shown

Title
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 18 56 0 01 Jun 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 25 2 0 24 May 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 30 41 0 06 Feb 2023
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 32 19 0 06 Jun 2022
Self Normalizing Flows Thomas Anderson Keller Jorn W. T. Peters P. Jaini Emiel Hoogeboom Patrick Forré Max Welling 30 14 0 14 Nov 2020
Independent Innovation Analysis for Nonlinear Vector Autoregressive Process H. Morioka Hermanni Hälvä Aapo Hyvarinen 25 22 0 19 Jun 2020