Maurizio Filippone received a Master's degree in Physics and a Ph.D. in Computer Science from the University of Genova, Italy, in 2004 and 2008, respectively.
In 2007, he was a Research Scholar with George Mason University, Fairfax, VA. From 2008 to 2011, he was a Research Associate with the University of Sheffield, U.K. (2008-2009), with the University of Glasgow, U.K. (2010), and with University College London, U.K (2011). From 2011 to 2015 he was a Lecturer at the University of Glasgow, U.K, and he is currently AXA Chair of Computational Statistics and Associate Professor at EURECOM, Sophia Antipolis, France.
His current research interests include the development of tractable and scalable Bayesian inference techniques for Gaussian processes and Deep/Conv Nets with applications in life and environmental sciences.
Interests
- Bayesian Machine Learning
- Gaussian processes
- Bayesian deep learning
Education
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PhD in Computer Science, 2008
University of Genoa, Italy
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Masters in Physics, 2004
University of Genoa, Italy
Recent Publications
- How Much Is Enough? A Study On Diffusion Times In Score-Based Generative Models (0001)
- Variational Dag Estimation Via State Augmentation With Stochastic Permutations (2024)
- A Multi-Step Loss Function For Robust Learning Of The Dynamics In Model-Based Reinforcement Learning (2024)
- When Is Importance Weighting Correction Needed For Covariate Shift Adaptation (2023)
- Spatial Bayesian Neural Networks (2023)