The paper ‘Enabling scalable stochastic gradient-based inference for Gaussian processes by employing

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Published: April 25, 2015

The paper “Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)” has been accepted at ICML! (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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