Julius von Kügelgen
Julius von Kügelgen
Max Planck Institute for Intelligent Systems Tübingen & University of Cambridge
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
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), 2020
11*2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
AH Karimi, J von Kügelgen, B Schölkopf, I Valera
NeurIPS 2020, 2020
62020
Towards causal generative scene models via competition of experts
J von Kügelgen, I Ustyuzhaninov, P Gehler, M Bethge, B Schölkopf
ICLR 2020 Workshop Causal Learning for Decision Making, 2020
42020
Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects
J von Kügelgen, L Gresele, B Schölkopf
arXiv preprint arXiv:2005.07180, 2020
32020
On the Fairness of Causal Algorithmic Recourse
J von Kügelgen, U Bhatt, AH Karimi, I Valera, A Weller, B Schölkopf
NeurIPS 2020 Workshop Algorithmic Fairness through the Lens of Causality and …, 2020
22020
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks
J von Kügelgen, PK Rubenstein, B Schölkopf, A Weller
NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal …, 2019
22019
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
J von Kügelgen, A Mey, M Loog
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
22019
Semi-supervised learning, causality and the conditional cluster assumption
J von Kügelgen, A Mey, M Loog, B Schölkopf
Conference on Uncertainty in Artificial Intelligence, 2020, 1--10, 2020
12020
Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes
F Laumann, J von Kügelgen, M Barahona
arXiv preprint arXiv:2010.00271, 2020
2020
A Mathematical Model for the Kinetics of the MalFGK (2) Maltose Transporter
RM Hiller, J von Kugelgen, H Bao, FDV Hoa, EN Cytrynbaum
Bulletin of Mathematical Biology 82 (5), 2020
2020
Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals
F Laumann, J von Kügelgen, M Barahona
ICLR 2020 Workshop Tackling Climate Change with Machine Learning, 2020
2020
Supplementary Information S1 Text
F Bertaux, J von Kügelgen, S Marguerat, V Shahrezaei
The system can't perform the operation now. Try again later.
Articles 1–12