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Variational Causal Networks: Approximate Bayesian Inference over Causal Structures


Jun 14, 2021
Yashas Annadani, Jonas Rothfuss, Alexandre Lacoste, Nino Scherrer, Anirudh Goyal, Yoshua Bengio, Stefan Bauer

* 10 pages, 6 figures 

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Meta-Learning Reliable Priors in the Function Space


Jun 06, 2021
Jonas Rothfuss, Dominique Heyn, Jinfan Chen, Andreas Krause

* 23 pages 

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DiBS: Differentiable Bayesian Structure Learning


May 25, 2021
Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause


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Robustness to Pruning Predicts Generalization in Deep Neural Networks


Mar 10, 2021
Lorenz Kuhn, Clare Lyle, Aidan N. Gomez, Jonas Rothfuss, Yarin Gal


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PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees


Feb 13, 2020
Jonas Rothfuss, Vincent Fortuin, Andreas Krause


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Noise Regularization for Conditional Density Estimation


Jul 21, 2019
Jonas Rothfuss, Fabio Ferreira, Simon Boehm, Simon Walther, Maxim Ulrich, Tamim Asfour, Andreas Krause


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Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks


Apr 13, 2019
Jonas Rothfuss, Fabio Ferreira, Simon Walther, Maxim Ulrich


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ProMP: Proximal Meta-Policy Search


Oct 17, 2018
Jonas Rothfuss, Dennis Lee, Ignasi Clavera, Tamim Asfour, Pieter Abbeel

* The first three authors contributed equally. The paper is under review for ICLR 2019 

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Model-Based Reinforcement Learning via Meta-Policy Optimization


Sep 14, 2018
Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel

* First 2 authors contributed equally. Accepted for Conference on Robot Learning (CoRL) 

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Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution


Jul 14, 2018
Jonas Rothfuss, Fabio Ferreira, Eren Erdal Aksoy, You Zhou, Tamim Asfour


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Introducing the Simulated Flying Shapes and Simulated Planar Manipulator Datasets


Jul 02, 2018
Fabio Ferreira, Jonas Rothfuss, Eren Erdal Aksoy, You Zhou, Tamim Asfour

* technical documentation, 2 figures, links to repositories 

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