Federico Baldo

According to our database, Federico Baldo authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations.

Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Informed Deep Learning for Epidemics Forecasting.

Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano

Proceedings of the PAIS 2022, 2022

2021

Deep Learning for Virus-Spreading Forecasting: a Brief Survey.

Federico Baldo, Lorenzo Dall'Olio, Mattia Ceccarelli, Riccardo Scheda, Michele Lombardi, Andrea Borghesi, Stefano Diciotti, Michela Milano

CoRR, 2021

2020

Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey.

Andrea Borghesi, Federico Baldo, Michela Milano

CoRR, 2020

A Lagrangian Dual Framework for Deep Neural Networks with Constraints.

Ferdinando Fioretto, Terrence W. K. Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck

CoRR, 2020

An Analysis of Regularized Approaches for Constrained Machine Learning.

Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano

Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Lagrangian Duality for Constrained Deep Learning.

Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Injective Domain Knowledge in Neural Networks for Transprecision Computing.

Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano

Proceedings of the Machine Learning, Optimization, and Data Science, 2020