Onofrio Semeraro

According to our database, Onofrio Semeraro authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Increasing Information for Model Predictive Control with Semi-Markov Decision Processes.

Rémy Hosseinkhan-Boucher, Onofrio Semeraro, Lionel Mathelin

CoRR, January, 2025

Physics-Based Region Clustering to Boost Inference on Computational Fluid Dynamics Flow Fields.

Riccardo Margheritti, Onofrio Semeraro, Maurizio Quadrio, Giacomo Boracchi

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

Learning non-Markovian Dynamical Systems with Signature-based Encoders.

Eliott Pradeleix, Rémy Hosseinkhan-Boucher, Alena Shilova, Onofrio Semeraro, Lionel Mathelin

Proceedings of the 2nd ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 2025

2024

Graph Neural Networks and Differential Equations: A hybrid approach for data assimilation of fluid flows.

Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro

CoRR, 2024

Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems.

Thibault Monsel, Emmanuel Menier, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat

CoRR, 2024

Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning.

Rémy Hosseinkhan Boucher, Onofrio Semeraro, Lionel Mathelin

Proceedings of the Optimization and Learning - 7th International Conference, 2024

Time and State Dependent Neural Delay Differential Equations.

Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat

Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 2024

Increasing information for model predictive control with semi-Markov decision processes.

Rémy Hosseinkhan Boucher, Stella Douka, Onofrio Semeraro, Lionel Mathelin

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Enhancing Data-Assimilation in CFD using Graph Neural Networks.

Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro

CoRR, 2023

Neural State-Dependent Delay Differential Equations.

Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat

CoRR, 2023

2021

Leveraging the structure of dynamical systems for data-driven modeling.

Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen, Sergio Chibbaro, Lionel Mathelin

CoRR, 2021