Poster presentation at NeurIPS of our JMLR paper ‘All You Need is a Good Functional Prior for Bayesi
Published:
Poster presentation at NeurIPS of our JMLR paper “All You Need is a Good Functional Prior for Bayesian Deep Learning” (link)
- Thuwal, Saudi Arabia
- KAUST
- Google Scholar
- GitHub
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Our new “Handbook of Bayesian Deep Learning” is now available online (link)
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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)