Maurizio Filippone
Bayesian machine learning researcher with expertise in Gaussian processes and deep probabilistic models, appearing to discuss deep Gaussian processes and their practical use.
Best podcasts with Maurizio Filippone
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18 snips
Oct 30, 2025 • 1h 28min
#144 Why is Bayesian Deep Learning so Powerful, with Maurizio Filippone
Maurizio Filippone, an associate professor at KAUST and leader of the Bayesian Deep Learning Group, dives into the fascinating world of Bayesian function estimation. He explains why Gaussian Processes are still crucial for function estimation and how deep Gaussian Processes introduce flexibility for complex tasks. Maurizio discusses practical strategies like Monte Carlo Dropout for uncertainty quantification in neural networks, the trade-offs between model complexity and interpretability, and the role of Bayesian methods in modern generative models.
Nov 5, 2025 • 19min
BITESIZE | Why is Bayesian Deep Learning so Powerful?
Join Maurizio Filippone, a Bayesian machine learning researcher specializing in Gaussian processes, as he unpacks the magic of deep Gaussian processes. He explains how composing GPs enhances flexibility and offers insights into modeling complex data. Discover practical approximations for implementing Deep GPs in TensorFlow, and learn when to use them over traditional deep neural networks. Maurizio also shares how to map neural networks to GP-like behavior for better interpretability and uncertainty quantification. It's a fascinating dive into the future of machine learning!
