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 Post-Docs and PhD candidates ****
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, please get in touch!
NEWS
22-06-25 Participating in the "Bayesian Learning of Very High-Dimensional Physical Process Models" at the Matrix Institute in Creswick (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)
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)
17-11-24 Workshop of Statistics at KAUST happening this week (link)
10-11-24 Participating in the Dagstuhl seminar Rethinking the Role of Bayesianism in the Age of Modern AI organized by V. Fortuin, Z. Ghahramani, M. E. Khan, M. van der Wilk (link)
10-08-24 The paper "Improved Random Features for Dot Product Kernels" has been accepted for publication in JMLR! (link)
08-08-24 Invited talk at the session on Advances in Inference and Theory for Bayesian Neural Networks at JSM in Portland, OR "Functional Priors for Bayesian Deep Learning" (link)
10-06-24 Invited talk at the Approximate Inference in Theory and Practice workshop in Paris: "Improving Optimization of Likelihood-based Generative Models with One Line of Code" (link)
02-05-24 The position paper entitled "Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI" has been accepted at ICML 2024! (link)
11-04-24 The paper "Spatial Bayesian neural networks" has been accepted in the Spatial Statistics journal! (link)
18-02-24 I moved to KAUST as an Associate Professor of Statistics!
...