Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Frederik Träuble

Frederik Träuble
Alert button

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

Add code
Alert button

Figure 1 for A General Purpose Neural Architecture for Geospatial Systems
Figure 2 for A General Purpose Neural Architecture for Geospatial Systems
Figure 3 for A General Purpose Neural Architecture for Geospatial Systems
Figure 4 for A General Purpose Neural Architecture for Geospatial Systems
* Presented at AI + HADR Workshop at NeurIPS 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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

Add code
Alert button

Figure 1 for DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
Figure 2 for DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
Figure 3 for DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
Figure 4 for DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Discrete Key-Value Bottleneck


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

Add code
Alert button

Figure 1 for Discrete Key-Value Bottleneck
Figure 2 for Discrete Key-Value Bottleneck
Figure 3 for Discrete Key-Value Bottleneck
Figure 4 for Discrete Key-Value Bottleneck

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Compositional Multi-Object Reinforcement Learning with Linear Relation Networks


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

Add code
Alert button

Figure 1 for Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Figure 2 for Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Figure 3 for Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Figure 4 for Compositional Multi-Object Reinforcement Learning with Linear Relation Networks

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Boxhead: A Dataset for Learning Hierarchical Representations


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

Add code
Alert button

Figure 1 for Boxhead: A Dataset for Learning Hierarchical Representations
Figure 2 for Boxhead: A Dataset for Learning Hierarchical Representations
Figure 3 for Boxhead: A Dataset for Learning Hierarchical Representations
Figure 4 for Boxhead: A Dataset for Learning Hierarchical Representations

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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

Add code
Alert button

Figure 1 for Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Figure 2 for Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Figure 3 for Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Figure 4 for Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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

Add code
Alert button

Figure 1 for Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning
Figure 2 for Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning
Figure 3 for Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning
Figure 4 for Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Backward-Compatible Prediction Updates: A Probabilistic Approach


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

Add code
Alert button

Figure 1 for Backward-Compatible Prediction Updates: A Probabilistic Approach
Figure 2 for Backward-Compatible Prediction Updates: A Probabilistic Approach
Figure 3 for Backward-Compatible Prediction Updates: A Probabilistic Approach
Figure 4 for Backward-Compatible Prediction Updates: A Probabilistic Approach

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

On the Transfer of Disentangled Representations in Realistic Settings


Oct 27, 2020
Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf

Add code
Alert button

Figure 1 for On the Transfer of Disentangled Representations in Realistic Settings
Figure 2 for On the Transfer of Disentangled Representations in Realistic Settings
Figure 3 for On the Transfer of Disentangled Representations in Realistic Settings
Figure 4 for On the Transfer of Disentangled Representations in Realistic Settings

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>