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Invariance & Causal Representation Learning: Prospects and Limitations

Invariance & Causal Representation Learning: Prospects and Limitations

6 December 2023
Simon Bing
Jonas Wahl
Urmi Ninad
Jakob Runge
    CML
    OOD
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Papers citing "Invariance & Causal Representation Learning: Prospects and Limitations"

5 / 5 papers shown
Title
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
What is causal about causal models and representations?
What is causal about causal models and representations?
Frederik Hytting Jørgensen
Luigi Gresele
S. Weichwald
CML
99
0
0
31 Jan 2025
Linear causal disentanglement via higher-order cumulants
Linear causal disentanglement via higher-order cumulants
Paula Leyes Carreno
Chiara Meroni
A. Seigal
CML
21
0
0
05 Jul 2024
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
185
125
0
04 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
888
0
02 Mar 2020
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