Home  | News

21.09.2023

Tiny logo
Teaser image to Best Paper Award at ECML PKDD 2023

Best Paper Award at ECML PKDD 2023

Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry

Our MCML PIs Bernd Bischl, Stephan Günnemann, and David Rügamer and MCML PhD Lisa Wimmer received the Best Paper Award for the Research Track at the ECML PKDD 2023 with their paper “Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry”. The paper is a joint work with Jonas Gregor Wiese and Theodore Papamarkou.

ECML PKDD is Europe’s top machine learning and data mining conference, with over 20 years of successful events and conferences across the continent. The ECML PKDD 2023 was held in Turin, Italy from the 18th to the 22nd of September 2023.

Congratulations from us!

Check out the full paper

A Conference
J. G. Wiese • L. Wimmer • T. Papamarkou • B. BischlS. GünnemannD. Rügamer
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
ECML-PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. Best Paper Award. DOI
#award #research #bischl #guennemann #ruegamer
Subscribe to RSS News feed

Related

Link to

19.01.2026

MCML at AAAI 2026

MCML researchers are represented with 9 papers at AAAI 2026 (6 Main, and 3 Workshops).

Link to MCML PI Frauke Kreuter Featured on ARD alpha on AI

19.01.2026

MCML PI Frauke Kreuter Featured on ARD Alpha on AI

MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.

Link to Blind Matching – Aligning Images and Text Without Training or Labels

15.01.2026

Blind Matching – Aligning Images and Text Without Training or Labels

CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.

Link to MCML PIs Featured in Süddeutsche Zeitung

12.01.2026

MCML PIs Featured in Süddeutsche Zeitung

MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.

Link to High-Res Images, Less Wait: A Simple Flow for Image Generation

08.01.2026

High-Res Images, Less Wait: A Simple Flow for Image Generation

ECCV 2024 research led by Björn Ommer’s team enables faster high-resolution image generation by boosting diffusion models with flow matching.

Back to Top