Matthias Bauer

18 papers A* 4A 1B 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video. CVPR Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
2023	J	`jnl`	C3: High-performance and low-complexity neural compression from a single image or video. CoRR Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
2023	J	`jnl`	Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
2022	J	`jnl`	Regularising for invariance to data augmentation improves supervised learning. CoRR Aleksander Botev, Matthias Bauer, Soham De
2021	A	`conf`	Improving predictions of Bayesian neural nets via local linearization. AISTATS Alexander Immer, Maciej Korzepa, Matthias Bauer
2021	A*	`conf`	Laplace Redux - Effortless Bayesian Deep Learning. NeurIPS Erik A. Daxberger, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, Philipp Hennig
2021	J	`jnl`	Laplace Redux - Effortless Bayesian Deep Learning. CoRR Erik A. Daxberger, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, Philipp Hennig
2021	A*	`conf`	Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning. ICML Alexander Immer, Matthias Bauer, Vincent Fortuin, Gunnar Rätsch, Mohammad Emtiyaz Khan
2021	J	`jnl`	Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning. CoRR Alexander Immer, Matthias Bauer, Vincent Fortuin, Gunnar Rätsch, Mohammad Emtiyaz Khan
2020	J	`jnl`	Improving predictions of Bayesian neural networks via local linearization. CoRR Alexander Immer, Maciej Korzepa, Matthias Bauer
2019	—	`conf`	Meta-Learning Probabilistic Inference for Prediction. ICLR (Poster) Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner
2018	J	`jnl`	Automatic Estimation of Modulation Transfer Functions. CoRR Matthias Bauer, Valentin Volchkov, Michael Hirsch, Bernhard Schölkopf
2018	B	`conf`	Automatic estimation of modulation transfer functions. ICCP Matthias Bauer, Valentin Volchkov, Michael Hirsch, Bernhard Schölkopf
2018	J	`jnl`	Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning. CoRR Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner
2018	A*	`conf`	Learning Invariances using the Marginal Likelihood. NeurIPS Mark van der Wilk, Matthias Bauer, S. T. John, James Hensman
2018	J	`jnl`	Learning Invariances using the Marginal Likelihood. CoRR Mark van der Wilk, Matthias Bauer, S. T. John, James Hensman
2017	J	`jnl`	Discriminative k-shot learning using probabilistic models. CoRR Matthias Bauer, Mateo Rojas-Carulla, Jakub Bartlomiej Swiatkowski, Bernhard Schölkopf, Richard E. Turner
2016	—	`conf`	Understanding Probabilistic Sparse Gaussian Process Approximations. NIPS Matthias Bauer, Mark van der Wilk, Carl Edward Rasmussen