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
10-08-24 The paper "Improved Random Features for Dot Product Kernels" has been accepted for publication in JMLR!
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!
21-09-23 The paper "One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models" has been accepted at NeurIPS 2023! (link)
21-09-23 The paper "Continuous-Time Functional Diffusion Processes" has been accepted at NeurIPS 2023! (link)
20-09-23 Delighted to be an invited speaker at the GenU workshop in Copenhagen presenting "Bayesian Autoencoders" (link)
25-07-23 Poster presentation at ICML of our paper "Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes" (link)
23-07-23 Delighted to be an invited speaker at the AABI workshop at ICML, presenting "Bayesian Autoencoders" (link)
30-05-23 Check out our new paper "One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models" (link)
29-05-23 I'm visiting NTNU University this week, acting as opponent for a Ph.D. thesis and presenting "Functional Priors for Bayesian Deep Learning"
29-05-23 I'm visiting CTU and the UTIA Institute in Prague this week, presenting "Bayesian Deep Learning"
25-04-23 The paper "Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes" has been accepted at ICML 2023! (pdf)
29-03-23 The paper "How Much is Enough? A Study on Diffusion Times in Score-based Generative Models" has been accepted in the Entropy Journal! (link)
01-03-23 Check out our new paper "Continuous-Time Functional Diffusion Processes" - joint work with M. Heinonen at Aalto (link)
09-02-23 Check out our new paper "Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes" - joint work with S. Mandt and B. Shahbaba at UCI (link)
18-01-23 I'm visiting Aalto University this week, acting as opponent for a Ph.D. thesis and presenting Functional priors for Bayesian Deep Learning
...