Maurizio Filippone

Associate Professor at KAUST

[Maurizio Filippone @MaurizioFilip19]

Busy poster sessions at NeurIPS 2022! We presented our recent work appearing in JMLR: "All you need is a good functional prior for Bayesian deep learning"

[marijka batterham @marijkajb]

Great way to finish the week at our @uowniasra seminar learning about the advantages of Bayesian neural networks when you select the right priors with @MaurizioFilip19 Improving generative models. @UOWDataScience

[Maurizio Filippone @MaurizioFilip19]

The third and last day of the Workshop on Functional Inference and Machine Intelligence at EURECOM started with another great talk by Alexandre Tsybakov:

https://t.co/gp8ldDvdYQ

[Maurizio Filippone @MaurizioFilip19]

Very excited to host the Workshop on Functional Inference and Machine Intelligence at EURECOM! Day 2 started with a great talk by Tamara Broderick - check out the program here:

https://t.co/gp8ldDvdYQ

[Maurizio Filippone @MaurizioFilip19]

Talk at the Department of Statistics, University of Oxford, UK: "Walsh-Hadamard Variational Inference for Bayesian Deep Learning" https://t.co/cXnT2PU8Bk

[Maurizio Filippone @MaurizioFilip19]

The paper "Pseudo-Extended Markov chain Monte Carlo" will be presented at NeurIPS 2019
https://t.co/ebw2kCTPuZ

[Maurizio Filippone @MaurizioFilip19]

Light, a possible solution for a sustainable AI https://t.co/Ep4Z9Gm92T via @FR_Conversation

[Maurizio Filippone @MaurizioFilip19]

A paper from our group has been accepted at ICML! https://t.co/fhg5B3a1ib