Mathias Trabs

According to our database, Mathias Trabs authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

The surrogate Gibbs-posterior of a corrected stochastic MALA: Towards uncertainty quantification for neural networks.

Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs

J. Mach. Learn. Res., 2026

2025

On the minimax optimality of Flow Matching through the connection to kernel density estimation.

Lea Kunkel, Mathias Trabs

CoRR, April, 2025

A Wasserstein perspective of Vanilla GANs.

Lea Kunkel, Mathias Trabs

Neural Networks, 2025

2024

Calibrating Bayesian generative machine learning for Bayesiamplification.

Sebastian Bieringer, Sascha Diefenbacher, Gregor Kasieczka, Mathias Trabs

Mach. Learn. Sci. Technol., 2024

2023

Dimensionality Reduction and Wasserstein Stability for Kernel Regression.

Stephan Eckstein, Armin Iske, Mathias Trabs

J. Mach. Learn. Res., 2023

AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization.

Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs

CoRR, 2023

Statistical guarantees for stochastic Metropolis-Hastings.

Sebastian Bieringer, Gregor Kasieczka, Maximilian F. Steffen, Mathias Trabs

CoRR, 2023