Congratulations to my Ph.D. student Federico Errica who has just been selected for a summer internship at Facebook. Have fun!
Yearly Archives: 2019
Accepted papers and sessions at ESANN’19
Good news in the Esann 2019 program!
Congratulations to Francesco Crecchi and Marco Podda for their accepted papers on adversarial attacks and graph generation
Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'19), i6doc.com, Louvain-la-Neuve, Belgium, 2019.
Graph generation by sequential edge prediction. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'19), i6doc.com, Louvain-la-Neuve, Belgium, 2019.
Great success also for the special session on Societal Issues in Machine Learning: When Learning from Data is Not Enough I am co-organizing. We received an high number of great quality papers but only 4 made it to the oral plenary.
Good news on INNS BDDL 2019 program
The upcoming INNS Big Data and Deep Learning conference will be featuring two events from my group: a tutorial on Deep Learning for Graphs, jointly with Alessio Micheli, and an accepted oral paper survey deep learning models for tree transductions, jointly with my research associate Antonio Bruno.
Check out the INNS BDDL program here!
Deep Tree Transductions - A Short Survey. Proceedings of the 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) , Recent Advances in Big Data and Deep Learning Springer International Publishing, 2019.