Julius von Kügelgen

Cited by

	All	Since 2018
Citations	941	937
h-index	17	17
i10-index	24	24

520

260

130

390

20172018201920202021202220234 2 5 20 90 306 505

Public access

View all

16 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Luigi GreseleMax Planck Institute for Intelligent Systems, TübingenVerified email at tuebingen.mpg.de
Michel BesserveMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Francesco LocatelloAssistant Professor, ISTAVerified email at ista.ac.at
Wieland BrendelFellow at ELLIS Institut Tübingen, Group Leader, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Peter GehlerZalandoVerified email at zalando.de
Amir-Hossein KarimiETH Zurich & MPI for Intelligent SystemsVerified email at tue.mpg.de
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsVerified email at cs.uni-saarland.de
Yash SharmaUniversity of Tübingen, Max Planck Institute for Intelligent SystemsVerified email at bethgelab.org
Frederik TräubleMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Matthias BethgeTübingen University & Maddox Co-FounderVerified email at bethgelab.org
Armin KekićMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Cian EastwoodUniversity of EdinburghVerified email at ed.ac.uk
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Marco LoogRadboud UniversityVerified email at ru.nl
Thomas BroxUniversity of Freiburg and AmazonVerified email at cs.uni-freiburg.de
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Wendong LiangMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Umang BhattUniversity of CambridgeVerified email at cam.ac.uk
Shashank SinghMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de

Julius von Kügelgen

Max Planck Institute for Intelligent Systems Tübingen & University of Cambridge

Verified email at tuebingen.mpg.de - Homepage

Causal Representation Learning Machine Learning Causal Inference Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style J von Kügelgen, Y Sharma, L Gresele*, W Brendel, B Schölkopf, ... NeurIPS, 2021	188	2021
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach AH Karimi, J von Kügelgen, B Schölkopf, I Valera NeurIPS, 2020	141	2020
Independent mechanism analysis, a new concept? L Gresele, J von Kügelgen, V Stimper, B Schölkopf, M Besserve NeurIPS, 2021	57	2021
On the Fairness of Causal Algorithmic Recourse J von Kügelgen, AH Karimi, U Bhatt, I Valera, A Weller, B Schölkopf AAAI, 2022	54	2022
Towards Causal Algorithmic Recourse AH Karimi, J von Kügelgen, B Schölkopf, I Valera Lecture Notes in Computer Science 13200 (xxAI - Beyond Explainable AI), 139–166, 2022	47*	2022
Visual representation learning does not generalize strongly within the same domain L Schott, J von Kügelgen, F Träuble, P Gehler, C Russell, M Bethge, ... ICLR, 2022	43	2022
Complex interlinkages, key objectives, and nexuses among the Sustainable Development Goals and climate change: a network analysis F Laumann, J von Kügelgen, TH Kanashiro Uehara, M Barahona The Lancet Planetary Health 6 (5), e422-e430, 2022	32*	2022
A bacterial size law revealed by a coarse-grained model of cell physiology F Bertaux, J von Kügelgen, S Marguerat, V Shahrezaei PLoS Computational Biology 16 (9), e1008245, 2020	32*	2020
Towards causal generative scene models via competition of experts J von Kügelgen, I Ustyuzhaninov, P Gehler, M Bethge, B Schölkopf ICLR Workshop Causal Learning for Decision Making, 2020	32	2020
Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects J von Kügelgen, L Gresele, B Schölkopf IEEE Transactions on Artificial Intelligence 2 (1), 18-27, 2021	31	2021
From Statistical to Causal Learning B Schölkopf, J von Kügelgen Proceedings of the International Congress of Mathematicians, 2022	28	2022
Semi-supervised learning, causality and the conditional cluster assumption J von Kügelgen, A Mey, M Loog, B Schölkopf UAI, 2020	26*	2020
Probable Domain Generalization via Quantile Risk Minimization C Eastwood, A Robey, S Singh, J von Kügelgen, H Hassani, GJ Pappas, ... NeurIPS, 2022	22	2022
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks J von Kügelgen, PK Rubenstein, B Schölkopf, A Weller NeurIPS Workshop “Do the right thing”: machine learning and causal inference …, 2019	20	2019
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction O Makansi, J von Kügelgen, F Locatello, P Gehler, D Janzing, T Brox, ... ICLR, 2022	19	2022
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP Z Jin, J von Kügelgen, J Ni, T Vaidhya, A Kaushal, M Sachan, ... EMNLP, 2021	19	2021
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis R Perry, J von Kügelgen, B Schölkopf NeurIPS, 2022	18	2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis P Reizinger, L Gresele, J Brady, J von Kügelgen, D Zietlow, B Schölkopf, ... NeurIPS, 2022	14	2022
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features J von Kügelgen, A Mey, M Loog AISTATS, 2019	14*	2019
Backtracking Counterfactuals J von Kügelgen, A Mohamed, S Beckers CLeaR, 2023	13*	2023

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors