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Julius von Kügelgen

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Independent Mechanism Analysis and the Manifold Hypothesis

Dec 20, 2023
Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf

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Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations

Nov 15, 2023
Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Bernhard Schölkopf, Mark Ibrahim

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Multi-View Causal Representation Learning with Partial Observability

Nov 07, 2023
Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello

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Deep Backtracking Counterfactuals for Causally Compliant Explanations

Oct 11, 2023
Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach

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Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features

Jul 19, 2023
Cian Eastwood, Shashank Singh, Andrei Liviu Nicolicioiu, Marin Vlastelica, Julius von Kügelgen, Bernhard Schölkopf

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Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators

Jun 09, 2023
Klaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach

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Nonparametric Identifiability of Causal Representations from Unknown Interventions

Jun 01, 2023
Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekić, Elias Bareinboim, David M. Blei, Bernhard Schölkopf

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Causal Component Analysis

May 26, 2023
Wendong Liang, Armin Kekić, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf

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Provably Learning Object-Centric Representations

May 23, 2023
Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel

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Evaluating vaccine allocation strategies using simulation-assisted causal modelling

Dec 14, 2022
Armin Kekić, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf

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