Bauer, Matthias

13 publications

CVPR 2025 Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion Jona Ballé, Luca Versari, Emilien Dupont, Hyunjik Kim, Matthias Bauer

CVPR 2024 C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont

NeurIPS 2024 Evaluating Numerical Reasoning in Text-to-Image Models Ivana Kajić, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh

ICML 2024 Improving Fine-Grained Understanding in Image-Text Pre-Training Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bošnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic

AISTATS 2021 Improving Predictions of Bayesian Neural Nets via Local Linearization Alexander Immer, Maciej Korzepa, Matthias Bauer

ICML 2021 Generalized Doubly Reparameterized Gradient Estimators Matthias Bauer, Andriy Mnih

NeurIPS 2021 Laplace Redux - Effortless Bayesian Deep Learning Erik Daxberger, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer, Philipp Hennig

ICML 2021 Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning Alexander Immer, Matthias Bauer, Vincent Fortuin, Gunnar Rätsch, Khan Mohammad Emtiyaz

AAAI 2020 Interpretable and Differentially Private Predictions Frederik Harder, Matthias Bauer, Mijung Park

ICLR 2019 Meta-Learning Probabilistic Inference for Prediction Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard Turner

AISTATS 2019 Resampled Priors for Variational Autoencoders Matthias Bauer, Andriy Mnih

NeurIPS 2018 Learning Invariances Using the Marginal Likelihood Mark van der Wilk, Matthias Bauer, St John, James Hensman

NeurIPS 2016 Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer, Mark van der Wilk, Carl Edward Rasmussen