Federico Baldo

15 papers Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing Cell Counting through MLOps: A Structured Approach for Automated Cell Analysis.
CoRR
Matteo Testi, Luca Clissa, Matteo Ballabio, Salvatore Ricciardi, Federico Baldo, Emanuele Frontoni, Sara Moccia, Gennaro Vessio
2025 J jnl
Regret-Based Federated Causal Discovery with Unknown Interventions.
CoRR
Federico Baldo, Charles K. Assaad
2024 J jnl
Discovering maximally consistent distribution of causal tournaments with Large Language Models.
CoRR
Federico Baldo, Simon Ferreira, Charles K. Assaad
2024 — —
Informed machine learning for epidemics: from data analysis to time-series forecasting.
Federico Baldo
2023 — conf
An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations.
ICCS (4)
Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi
2023 J jnl
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations.
CoRR
Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi
2022 — conf
Informed Deep Learning for Epidemics Forecasting.
PAIS@ECAI
Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano
2021 J jnl
Deep Learning for Virus-Spreading Forecasting: a Brief Survey.
CoRR
Federico Baldo, Lorenzo Dall'olio, Mattia Ceccarelli, Riccardo Scheda, Michele Lombardi, Andrea Borghesi, Stefano Diciotti, Michela Milano
2020 J jnl
A Lagrangian Dual Framework for Deep Neural Networks with Constraints.
CoRR
Ferdinando Fioretto, Terrence W. K. Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck
2020 — conf
An Analysis of Regularized Approaches for Constrained Machine Learning.
TAILOR
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
2020 J jnl
An Analysis of Regularized Approaches for Constrained Machine Learning.
CoRR
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
2020 J jnl
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey.
CoRR
Andrea Borghesi, Federico Baldo, Michela Milano
2020 — conf
Injective Domain Knowledge in Neural Networks for Transprecision Computing.
LOD (1)
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
2020 J jnl
Injective Domain Knowledge in Neural Networks for Transprecision Computing.
CoRR
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
2020 — conf
Lagrangian Duality for Constrained Deep Learning.
ECML/PKDD (5)
Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi