Participating in the Dagstuhl seminar Rethinking the Role of Bayesianism in the Age of Modern AI org

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Published: November 10, 2024

Participating in the Dagstuhl seminar Rethinking the Role of Bayesianism in the Age of Modern AI organized by V. Fortuin, Z. Ghahramani, M. E. Khan, M. van der Wilk (link)

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Check out our new book on ‘Bayesian Deep Learning’

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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’

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

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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)

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