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Marc Peter Deisenroth

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Aligning Time Series on Incomparable Spaces

Jun 22, 2020
Samuel Cohen, Giulia Luise, Alexander Terenin, Brandon Amos, Marc Peter Deisenroth

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Matern Gaussian processes on Riemannian manifolds

Jun 17, 2020
Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth

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Efficiently sampling functions from Gaussian process posteriors

Feb 21, 2020
James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth

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Variational Integrator Networks for Physically Meaningful Embeddings

Oct 21, 2019
Steindor Saemundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth

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Deep Gaussian Processes with Importance-Weighted Variational Inference

May 14, 2019
Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc Peter Deisenroth

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Differentially Private Empirical Risk Minimization with Sparsity-Inducing Norms

May 13, 2019
K S Sesh Kumar, Marc Peter Deisenroth

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Meta Reinforcement Learning with Latent Variable Gaussian Processes

Jul 07, 2018
Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth

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Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches

May 31, 2018
Simon Olofsson, Marc Peter Deisenroth, Ruth Misener

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Maximizing acquisition functions for Bayesian optimization

May 25, 2018
James T. Wilson, Frank Hutter, Marc Peter Deisenroth

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Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control

Feb 22, 2018
Sanket Kamthe, Marc Peter Deisenroth

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