Address:
4700 King Abdullah University Of Science And Technology
Thuwal 23955-6900,
Kingdom of Saudi Arabia
Office: 1-4112
Phone: +966 12 808 7216
Email Address: maurizio.filippone [at] kaust.edu.sa
** A message to perspective students and Post-Docs **
I'm always looking for talented students and Post-Docs who are passionate about Computational Statistics and Probabilistic Machine Learning. If you are interested in joining my group at KAUST in any position, please apply using this unified point of contact: link
Note: If you are not contacted within six weeks after submitting your application, this means you are not selected for an interview - no need to send emails asking for an update on the application.
NEWS
27-10-25 Participating in the workshop "Rethinking the Role of Bayesianism in the Age of Modern AI" at MBZUAI, Abu Dhabi, UAE (link)
24-10-25 Check out our new paper "TENDE: Transfer Entropy Neural Diffusion Estimation" (link)
22-10-25 Talk at the Huawei Lavender Summit in Chantilly, France: "Bayesian Deep Learning"
14-10-25 Check out our new paper "Universal Adaptive Environment Discovery" (link)
08-10-25 Check out our new paper "From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation" (link)
17-09-25 Poster at the GenU workshop in Copenhagen, Denmark "GANs Secretly Perform Approximate Bayesian Model Selection" (link)
01-07-25 Check out our new paper "GANs Secretly Perform Approximate Bayesian Model Selection" (link)
22-06-25 Participating in the workshop "Bayesian Learning of Very High-Dimensional Physical Process Models" at the Matrix Institute in Creswick, Australia (link)
19-06-25 Talk at the "One World Approximate Bayesian Inference (ABI) Seminar" - live at BayesComp: "GANs Secretly Perform Approximate Bayesian Model Selection" (link)
11-06-25 Check out our new paper "Scaling Laws for Uncertainty in Deep Learning" (link)
06-06-25 Check out our new paper "Variational Inference for Quantum HyperNetworks" (link)
02-06-25 Talk at KTH, Stockholm: "Priors for Bayesian Deep Learning"
27-05-25 Check out our new paper "Optimizing Data Augmentation through Bayesian Model Selection" (link)
01-05-25 The paper "AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting" has been accepted at ICML 2025! (link)
22-01-25 The paper "Zero-shot Model-based Reinforcement Learning using Large Language Models" has been accepted at ICLR 2025! (link)
22-01-25 The paper "Robust Classification by Coupling Data Mollification with Label Smoothing" has been accepted at AISTATS 2025! (link)
22-01-25 The paper "Unconditionally Calibrated Priors for Beta Mixture Density Networks" has been accepted at AISTATS 2025! (link)
10-06-24 Invited talk at the "Recent Advances on High Dimensional Models" session of the ICSDS conference in Nice: "Improving Optimization of Likelihood-based Generative Models with One Line of Code" (link)
01-12-24 Applied Mathematics School at KAUST happening this week (link)
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