Matthias Bauer
Matthias Bauer
DeepMind, London
Verified email at google.com
Title
Cited by
Cited by
Year
Understanding probabilistic sparse Gaussian process approximations
M Bauer, M van der Wilk, CE Rasmussen
Advances in neural information processing systems, 1533-1541, 2016
1022016
Meta-learning probabilistic inference for prediction
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
arXiv preprint arXiv:1805.09921, 2018
45*2018
Discriminative k-shot learning using probabilistic models
M Bauer, M Rojas-Carulla, JB Swiatkowski, B Schölkopf, RE Turner
2nd Bayesian Deep Learning Workshop, NIPS 2017, 2017
29*2017
Resampled priors for variational autoencoders
M Bauer, A Mnih
arXiv preprint arXiv:1810.11428, 2018
222018
Ecological feedback in quorum-sensing microbial populations can induce heterogeneous production of autoinducers
M Bauer, J Knebel, M Lechner, P Pickl, E Frey
Elife 6, e25773, 2017
152017
JB Swi atkowski, B. Schölkopf, and RE Turner. Discriminative k-shot learning using probabilistic models
M Bauer, M Rojas-Carulla
arXiv preprint arXiv:1706.00326 6 (7), 2017
52017
Lindblad driving for nonequilibrium steady-state transport for noninteracting quantum impurity models
M Bauer
Bachelor Thesis, University of Munich, 2011
32011
Interpretable and Differentially Private Predictions
F Harder, M Bauer, M Park
arXiv preprint arXiv:1906.02004, 2019
22019
Automatic estimation of modulation transfer functions
M Bauer, V Volchkov, M Hirsch, B Schcölkopf
2018 IEEE International Conference on Computational Photography (ICCP), 1-12, 2018
22018
Learning Invariances using the Marginal Likelihood
M van der Wilk, M Bauer, ST John, J Hensman
Advances in Neural Information Processing Systems, 9938-9948, 2018
22018
VERSA: Versatile and Efficient Few-shot Learning
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
Third workshop on Bayesian Deep Learning, 2018
12018
Consolidating the Meta-Learning Zoo: A Unifying Perspective as Posterior Predictive Inference
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
Meta Learning Workshop, NeurIPS 2018, 2018
12018
Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning
M Bauer
University of Cambridge, 2020
2020
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Articles 1–13