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Frederik Träuble
Frederik Träuble
Max Planck Institute for Intelligent Systems
Bestätigte E-Mail-Adresse bei tuebingen.mpg.de
Titel
Zitiert von
Zitiert von
Jahr
Causalworld: A robotic manipulation benchmark for causal structure and transfer learning
O Ahmed*, F Träuble*, A Goyal, A Neitz, Y Bengio, B Schölkopf, ...
International Conference on Learning Representations 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 2021), 2020
1362020
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 2021, 2020
902020
A stepladder approach to a tokamak fusion power plant
H Zohm, F Träuble, W Biel, E Fable, R Kemp, H Lux, M Siccinio, ...
Nuclear fusion 57 (8), 086002, 2017
732017
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
L Schott, J von Kügelgen, F Träuble, P Gehler, C Russell, M Bethge, ...
International Conference on Learning Representations 2022, 2021
662021
Discrete Key-Value Bottleneck
F Träuble, A Goyal, N Rahaman, M Mozer, K Kawaguchi, Y Bengio, ...
Fortieth International Conference on Machine Learning (ICML 2023), 2022
292022
The Role of Pretrained Representations for the OOD Generalization of RL Agents
F Träuble, A Dittadi, M Wuthrich, F Widmaier, PV Gehler, O Winther, ...
International Conference on Learning Representations 2022, 2021
23*2021
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
D Mambelli, F Träuble, S Bauer, B Schölkopf, F Locatello
arXiv preprint arXiv:2201.13388, 2022
202022
Backward-Compatible Prediction Updates: A Probabilistic Approach
F Träuble, J von Kügelgen, M Kleindessner, F Locatello, B Schölkopf, ...
Advances in Neural Information Processing Systems 34, 2021
192021
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
C Eastwood, AL Nicolicioiu, J von Kügelgen, A Kekić, F Träuble, A Dittadi, ...
International Conference on Learning Representations 2023, 2022
182022
An improved equation of state for air plasma simulations
F Träuble, ST Millmore, N Nikiforakis
Physics of Fluids 33 (3), 036112, 2021
162021
Representation Learning for Out-of-distribution Generalization in Reinforcement Learning
F Träuble*, A Dittadi*, M Wuthrich, F Widmaier, PV Gehler, O Winther, ...
ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021
9*2021
Where to locate DEMO in a one-step-to-an-FPP strategy
H Zohm, FJ Träuble, W Biel, E Fable, R Kemp, R Wenninger
43rd EPS Conference on Plasma Physics, 2016
82016
Unlearning via Sparse Representations
V Shah, F Träuble, A Malik, H Larochelle, M Mozer, S Arora, Y Bengio, ...
arXiv preprint arXiv:2311.15268, 2023
42023
A General Purpose Neural Architecture for Geospatial Systems
N Rahaman, M Weiss, F Träuble, F Locatello, A Lacoste, Y Bengio, C Pal, ...
AI + HADR Workshop at 36th Conference on Neural Information Processing Systems, 2022
32022
On the DCI Framework for Evaluating Disentangled Representations: Extensions and Connections to Identifiability
C Eastwood, AL Nicolicioiu, J Von Kügelgen, A Kekic, F Träuble, A Dittadi, ...
UAI 2022 Workshop on Causal Representation Learning, 2022
22022
Boxhead: A Dataset for Learning Hierarchical Representations
Y Chen, F Träuble, A Dittadi, S Bauer, B Schölkopf
NeurIPS 2021 Workshop on Shared Visual Representations in Human and Machine …, 2021
22021
End-to-end Invariance Learning with Relational Inductive Biases in Multi-Object Robotic Manipulation
D Mambelli, F Träuble, S Bauer, B Schölkopf, F Locatello
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