PhD Student in Smart Computing at Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze. My research topic includes explainable AI and transparent machine learning. I’m also interested in sparse mixed-integer optimization, global optimization and deep learning. My ORCID number: 0000-0003-1899-2450 Talks EUROPT 2021, Toulouse
NOML, Nonlinear Optimization and Machine Learning I
NOML Nonlinear Optimization and Machine Learning I Invited Session Time Slot: Wednesday Afternoon Room: 003 Chair: Matteo Lapucci Implicit bias of gradient descent for learning linear neural networks Time: 17:30 Holger Rauhut (RWTH Aachen University, Chair for Mathematics of Information
Efficient algorithms based on optimal decision trees for transparent machine learning
Student: Tommaso Aldinucci In recent years the world of machine learning has been revolutionized by the “explosion” of models based on deep neural networks. Such models have proved to be really performing and able to face even very complex tasks.
Improved space trajectories found by an undergraduate student at GOL
An undergraduate student, Tommaso Aldinucci, working for his first level degree thesis in Information Engineering at GOL, found as many as 6 improved trajectories for the Tandem mission test set maintained by ESA. The new improved routes are now available
Python Global optimization for space trajectories
Numerical experiments with global optimization for space trajectory planning, using a library developed at ESA Candidate: Tommaso Aldinucci Graduated: april 2017
Who we are
Professors Prof. Fabio Schoen Prof. Paola Cappanera Prof. Marianna De Santis Prof. Fabio Tardella Adjunct professors Dr. Ing. Matteo Lapucci, PhD (RTD/A) Research Group Dr. Ing. Tommaso Aldinucci (PostDoc) Dr. Ing. Simone Magistri (PostDoc) Dr. Ing. Pierluigi Mansueto (PostDoc)