Follow
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 29, 2016
3122016
Meta-learning probabilistic inference for prediction
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
arXiv preprint arXiv:1805.09921, 2018
3102018
Laplace redux-effortless bayesian deep learning
E Daxberger, A Kristiadi, A Immer, R Eschenhagen, M Bauer, P Hennig
Advances in Neural Information Processing Systems 34, 20089-20103, 2021
2662021
Improving predictions of Bayesian neural nets via local linearization
A Immer, M Korzepa, M Bauer
International conference on artificial intelligence and statistics, 703-711, 2021
1332021
Resampled priors for variational autoencoders
M Bauer, A Mnih
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
1322019
Scalable marginal likelihood estimation for model selection in deep learning
A Immer, M Bauer, V Fortuin, G Rätsch, KM Emtiyaz
International Conference on Machine Learning, 4563-4573, 2021
1052021
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
892018
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
812017
Interpretable and differentially private predictions
F Harder, M Bauer, M Park
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4083-4090, 2020
532020
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
462017
Spatial functa: Scaling functa to imagenet classification and generation
M Bauer, E Dupont, A Brock, D Rosenbaum, JR Schwarz, H Kim
arXiv preprint arXiv:2302.03130, 2023
212023
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
182018
PaliGemma: A versatile 3B VLM for transfer
L Beyer, A Steiner, AS Pinto, A Kolesnikov, X Wang, D Salz, M Neumann, ...
arXiv preprint arXiv:2407.07726, 2024
172024
Versa: Versatile and efficient few-shot learning
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
Third workshop on Bayesian Deep Learning, 2018
152018
Generalized doubly reparameterized gradient estimators
M Bauer, A Mnih
International Conference on Machine Learning, 738-747, 2021
112021
Regularising for invariance to data augmentation improves supervised learning
A Botev, M Bauer, S De
arXiv preprint arXiv:2203.03304, 2022
102022
C3: High-performance and low-complexity neural compression from a single image or video
H Kim, M Bauer, L Theis, JR Schwarz, E Dupont
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
Lindblad driving for nonequilibrium steady-state transport for noninteracting quantum impurity models
M Bauer
Bachelor Thesis, University of Munich, 2011
62011
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
32018
Improving fine-grained understanding in image-text pre-training
I Bica, A Ilić, M Bauer, G Erdogan, M Bošnjak, C Kaplanis, AA Gritsenko, ...
arXiv preprint arXiv:2401.09865, 2024
12024
The system can't perform the operation now. Try again later.
Articles 1–20