New year updates
Quite a busy semester, hence long time no posts. Lets start the year with a bunch of good news. July 2022 is going to be a busy month in Padova with the organization of IEEE WCCI 2022, including 1st Pervasive …
Category: news
New Ph.D. graduate
Congratulations to Francesco Crecchi that just defended his Ph.D. thesis on “Deep Learning Safety under Non-Stationarity Assumptions”, jointly supervised by me and Battista Biggio. Francesco is my first Ph.D. student to graduate, so that doubles the celebrations on my side. …
IJCNN 2021 papers
Our group had 4 papers recently accepted to the upcoming International Joint Conference on Neural Networks! Much work on deep learning for graphs, including a novel edge-based model, an efficient graph generation approach and an explanation method for the chemical …
Reinforcement Learning course kickoff
The new edition of the Reinforcement Learning course will kickoff on Monday 29/03/2021 h. 16.00. This is a course offered to M.Sc. Students of the AI Curriculum (recognition as 3 Free-choice CFU) and Ph.D. students. For furher information please check …
Neurips 2020 WS papers
Excellent result by our group in the upcoming NeurIPS 2020 workshops with four accepted papers.Congrats to Antonio Carta, Francesco Landolfi, Danilo Numeroso and Matteo Ronchetti! Preprints coming up..
Paper Accepted at COLING 2020
Congratulations to Daniele Castellana for having his paper accepted at COLING 2020. Check it out if you are interested in higher-order neural networks for parse trees using tensor decompositions (soon on the Arxiv!).
ICML 2020 Top Reviewer
Review effort does not always come unnoticed.. Happy to be listed in the top third of the ICML reviewers.
New JMLR paper
Couldn’t think of a better venue for my 99th research paper than the Journal of Machine Learning Research. Check out our work on deep and probabilistic learning for graphs. Terrific job by Federico Errica!
Deep Learning for graph on Neural Networks
Very proud of the last effort from our group! Our tutorial paper on deep learning for graphs will be published as an invited paper on the Neural Networks journal! Check out a preliminary version on the Arxiv!
COVID-19 Task Force
If you work in AI and you are willing to contribute to the worldwide fight against COVID-19 please consider joining the CLAIRE-COVID19 task force. I am coordinating the workgroup on omics, chemical and clinical data processing. You can have a …