The paper ‘Deep Gaussian Process Autoencoders for Novelty Detection’ has been accepted for publicati

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Published: June 01, 2018

The paper “Deep Gaussian Process Autoencoders for Novelty Detection” has been accepted for publication in the Machine Learning journal and it will be presented at the next ECML/PKDD conference! (link)

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Check out our new book on ‘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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