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Frederik Träuble

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Unlearning via Sparse Representations

Nov 26, 2023
Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal

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A General Purpose Neural Architecture for Geospatial Systems

Nov 04, 2022
Nasim Rahaman, Martin Weiss, Frederik Träuble, Francesco Locatello, Alexandre Lacoste, Yoshua Bengio, Chris Pal, Li Erran Li, Bernhard Schölkopf

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DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability

Oct 01, 2022
Cian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekić, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf

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Discrete Key-Value Bottleneck

Jul 22, 2022
Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf

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Compositional Multi-Object Reinforcement Learning with Linear Relation Networks

Jan 31, 2022
Davide Mambelli, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, Francesco Locatello

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Boxhead: A Dataset for Learning Hierarchical Representations

Oct 07, 2021
Yukun Chen, Frederik Träuble, Andrea Dittadi, Stefan Bauer, Bernhard Schölkopf

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Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Jul 23, 2021
Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel

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Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning

Jul 12, 2021
Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer

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Backward-Compatible Prediction Updates: A Probabilistic Approach

Jul 02, 2021
Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter Gehler

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