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
**** Job opportunities available in my group at KAUST ****
- Postdoc positions in Bayesian Deep Learning: Apply here
- Research Technician/Specialist in Bayesian Deep Learning: Apply here
NEWS
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
06-12-22 Webinar with the discussion of the Bayesian Analysis paper "Deep Gaussian Processes for Calibration of Computer Models". (link)
30-11-22 Poster presentation at NeurIPS of our JMLR paper "All You Need is a Good Functional Prior for Bayesian Deep Learning" (link)
24-10-22 Talk at the workshop on Statistical Deep Learning Functional priors for Bayesian deep learning (link)
17-10-22 I will visit Data61 in Sydney and University of Wollongong over the next two weeks.
15-08-22 Participating in the Dagstuhl seminar Differential Equations and Continuous-Time Deep Learning organized by M. Welling, D. Duvenaud, M. Heinonen and M. Tiemann (link)
...