Monthly Archives: January 2019

Paper accepted for ICRA 2019

A joint paper with the Hands and Haptics team at Centro Piaggio has just been accepted at the top-robotic confrence ICRA 2019 (and jointly to the IEEE Robotics and Automation Letters journal). A deep neural network learning, from humans, how to guide a robot arm in the manipulation of never-seen-before objects. Early access to the paper here: check out the upcoming videos of our system at work!

Della Santina Cosimo, Arapi Visar, Averta Giuseppe, Damiani Francesca, Fiore Gaia, Settimi Alessandro, Catalano Manuel Giuseppe, Bacciu Davide, Bicchi Antonio, Bianchi Matteo: Learning from humans how to grasp: a data-driven architecture for autonomous grasping with anthropomorphic soft hands. In: IEEE Robotics and Automation Letters, pp. 1-8, 2019, ISSN: 2377-3766, (Also accepted for presentation at ICRA 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

Francesco Crecchi, Davide Bacciu, Battista Biggio : 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.

Davide Bacciu, Alessio Micheli, Marco Podda: 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!

Bacciu Davide, Bruno Antonio: 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.