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Function Classes for Identifiable Nonlinear Independent Component
  Analysis

Function Classes for Identifiable Nonlinear Independent Component Analysis

12 August 2022
Simon Buchholz
M. Besserve
Bernhard Schölkopf
ArXivPDFHTML

Papers citing "Function Classes for Identifiable Nonlinear Independent Component Analysis"

5 / 5 papers shown
Title
Robustness of Nonlinear Representation Learning
Robustness of Nonlinear Representation Learning
Simon Buchholz
Bernhard Schölkopf
OOD
90
3
0
19 Mar 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Samuele Bortolotti
Emanuele Marconato
Paolo Morettin
Andrea Passerini
Stefano Teso
53
2
0
16 Feb 2025
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
Emanuele Marconato
Sébastien Lachapelle
Sebastian Weichwald
Luigi Gresele
64
3
0
30 Oct 2024
Identifiability of latent-variable and structural-equation models: from
  linear to nonlinear
Identifiability of latent-variable and structural-equation models: from linear to nonlinear
Aapo Hyvarinen
Ilyes Khemakhem
R. Monti
CML
17
41
0
06 Feb 2023
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
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
25
19
0
06 Jun 2022
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