Matthias Bauer
13 papers · 2016–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(9)
🐝
Cross-Pollinator
(13)
🏆
Grand Slam
💎
Century Club
(13)
🗃️
Keyword Collector
(51)
Conferences
NIPS (4)
ICML (3)
AISTATS (2)
CVPR (2)
AAAI (1)
ICLR (1)
Top co-authors
Research topics
Keywords
variational inference
(5)
generative model
(3)
laplace approximation
(3)
gaussian process
(3)
image compression
(2)
marginal likelihood
(2)
variational autoencoder
(2)
bayesian inference
(1)
model fitting
(1)
benchmark evaluation
(1)
multimodal learning
(1)
image reconstruction
(1)
visual reasoning
(1)
data augmentation
(1)
probabilistic modeling
(1)
uncertainty quantification
(1)
gradient estimation
(1)
neural compression
(1)
hyperparameter optimization
(1)
model selection
(1)
Papers
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
CVPR 2025
C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video
CVPR 2024
Improving fine-grained understanding in image-text pre-training
ICML 2024
Evaluating Numerical Reasoning in Text-to-Image Models
NIPS 2024
Improving predictions of Bayesian neural nets via local linearization
AISTATS 2021
Laplace Redux - Effortless Bayesian Deep Learning
NIPS 2021
Generalized Doubly Reparameterized Gradient Estimators
ICML 2021
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
ICML 2021
Interpretable and Differentially Private Predictions
AAAI 2020
Meta-Learning Probabilistic Inference for Prediction
ICLR 2019
Resampled Priors for Variational Autoencoders
AISTATS 2019
Learning Invariances using the Marginal Likelihood
NIPS 2018
Understanding Probabilistic Sparse Gaussian Process Approximations
NIPS 2016