The paper ‘One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative

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Published: September 21, 2023

The paper “One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models” has been accepted at NeurIPS 2023! (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)

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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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