Participating in the Dagstuhl seminar Probabilistic Numerical Methods – From Theory to Implementatio

less than 1 minute read

Published: October 24, 2021

Participating in the Dagstuhl seminar Probabilistic Numerical Methods – From Theory to Implementation organized by P. Hennig, I. Ipsen, M. Mahsereci, T. Sullivan (link)

Share on

Bluesky Facebook LinkedIn Mastodon X (formerly Twitter)

Check out our new book on ‘Bayesian Deep Learning’

less than 1 minute read

Published: August 25, 2026

Our new “Handbook of Bayesian Deep Learning” is now available online (link)

Talk at the SMILES summer schools ‘Bayesian Deep Learning’

less than 1 minute read

Published: July 19, 2026

Invited talk at the ‘SMILES summer school of machine learning’ in Nanjing University: “Bayesian Deep Learning” (link)

Talk at ISBA ‘Model Selection for Over-Parameterized Models’

less than 1 minute read

Published: July 02, 2026

Invited talk at the ‘Calibrated Bayes: Model Design and Adaptation Under Limited Resources’ session at ISBA in Nagoya: “Model Selection for Over-Parameterized Models” (link)

Paper ‘Review of timescale distributions for electrochemical impedance spectroscopy analysis: Advantages, synergies, and future directions’ accepted in DeCarbon

less than 1 minute read

Published: June 18, 2026

Our paper “Review of timescale distributions for electrochemical impedance spectroscopy analysis: Advantages, synergies, and future directions” has been accepted for publication in the journal DeCarbon (link)

Share on

You May Also Enjoy

Check out our new book on ‘Bayesian Deep Learning’

Talk at the SMILES summer schools ‘Bayesian Deep Learning’

Talk at ISBA ‘Model Selection for Over-Parameterized Models’

Paper ‘Review of timescale distributions for electrochemical impedance spectroscopy analysis: Advantages, synergies, and future directions’ accepted in DeCarbon