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Stefan Bauer
Stefan Bauer
Helmholtz | TUM | CIFAR
Verified email at tum.de
Title
Cited by
Cited by
Year
Challenging common assumptions in the unsupervised learning of disentangled representations
F Locatello, S Bauer, M Lucic, G Raetsch, S Gelly, B Schölkopf, O Bachem
International Conference on Machine Learning (ICML) 2019, 2019
16282019
Toward causal representation learning
B Schölkopf, F Locatello, S Bauer, NR Ke, N Kalchbrenner, A Goyal, ...
Proceedings of the IEEE 109 (5), 612-634, 2021
13222021
Machine learning-enabled high-entropy alloy discovery
Z Rao, PY Tung, R Xie, Y Wei, H Zhang, A Ferrari, TPC Klaver, F Körmann, ...
Science, 2022
3262022
On the fairness of disentangled representations
F Locatello, G Abbati, T Rainforth, S Bauer, B Schölkopf, O Bachem
Neural Information Processing Systems (NeurIPS) 2019, 2019
2502019
Disentangling factors of variation using few labels
F Locatello, M Tschannen, S Bauer, G Rätsch, B Schölkopf, O Bachem
International Conference on Learning Representations (ICLR) 2020, 2019
2022019
Robustly disentangled causal mechanisms: Validating deep representations for interventional robustness
R Suter, D Miladinovic, B Schölkopf, S Bauer
International Conference on Machine Learning (ICML) 2019, 2019
1962019
Neural causal structure discovery from interventions
NR Ke, O Bilaniuk, A Goyal, S Bauer, H Larochelle, B Schölkopf, ...
Transactions on Machine Learning Research, 2023
191*2023
Automatic human sleep stage scoring using deep neural networks
A Malafeev, D Laptev, S Bauer, X Omlin, A Wierzbicka, A Wichniak, ...
Frontiers in neuroscience 12, 781, 2018
1622018
Learning counterfactual representations for estimating individual dose-response curves
P Schwab, L Linhardt, S Bauer, JM Buhmann, W Karlen
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5612-5619, 2020
1482020
On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset
MW Gondal, M Wüthrich, Đ Miladinović, F Locatello, M Breidt, V Volchkov, ...
Neural Information Processing Systems (NeurIPS) 2019, 2019
1472019
Causalworld: A robotic manipulation benchmark for causal structure and transfer learning
O Ahmed, F Träuble, A Goyal, A Neitz, M Wüthrich, Y Bengio, B Schölkopf, ...
International Conference on Learning Representations (ICLR) 2021, 2020
1392020
On Disentangled Representations Learned From Correlated Data
F Träuble, E Creager, N Kilbertus, F Locatello, A Dittadi, A Goyal, ...
International Conference on Machine Learning (ICML), 2020
1362020
Bayesian Structure Learning with Generative Flow Networks
T Deleu, A Góis, C Emezue, M Rankawat, S Lacoste-Julien, S Bauer, ...
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
1212022
Diffusion models for video prediction and infilling
T Höppe, A Mehrjou, S Bauer, D Nielsen, A Dittadi
Transactions on Machine Learning Research (TMLR), 2022
1112022
Clinical predictive models for COVID-19: systematic study
P Schwab, ADM Schütte, B Dietz, S Bauer
Journal of medical Internet research 22 (10), e21439, 2020
1042020
On the Transfer of Disentangled Representations in Realistic Settings
A Dittadi, F Träuble, F Locatello, M Wüthrich, V Agrawal, O Winther, ...
International Conference on Learning Representations (ICLR) 2021, 2020
902020
Multidimensional contrast limited adaptive histogram equalization
V Stimper, S Bauer, R Ernstorfer, B Schölkopf, RP Xian
IEEE Access 7, 165437-165447, 2019
712019
A sober look at the unsupervised learning of disentangled representations and their evaluation
F Locatello, S Bauer, M Lucic, G Rätsch, S Gelly, B Schölkopf, O Bachem
Journal of Machine Learning Research (JMLR), 2020
692020
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species
Đ Miladinović, C Muheim, S Bauer, A Spinnler, D Noain, M Bandarabadi, ...
PLoS computational biology 15 (4), e1006968, 2019
682019
Real-time prediction of COVID-19 related mortality using electronic health records
P Schwab, A Mehrjou, S Parbhoo, LA Celi, J Hetzel, M Hofer, B Schölkopf, ...
Nature communications 12 (1), 1058, 2021
672021
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