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Inferring the Structure of Ordinary Differential Equations


Jul 05, 2021
Juliane Weilbach, Sebastian Gerwinn, Christian Weilbach, Melih Kandemir

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Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes


Jun 17, 2020
Manuel Haussmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir

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Bayesian Prior Networks with PAC Training


Jun 03, 2019
Manuel Haussmann, Sebastian Gerwinn, Melih Kandemir

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Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds


Oct 29, 2018
David Reeb, Andreas Doerr, Sebastian Gerwinn, Barbara Rakitsch

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* 11 pages main text, 12 pages appendix. Camera-ready version submitted to NIPS 2018 

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In All Likelihood, Deep Belief Is Not Enough


Nov 28, 2010
Lucas Theis, Sebastian Gerwinn, Fabian Sinz, Matthias Bethge

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* Journal of Machine Learning Research 12, 3071-3096, 2011 

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