NextGen Synergy: Control Theory and Machine Learning

Name: NextGen Synergy: Control Theory and Machine Learning
Start: 2026-04-27T08:30:00+02:00
End: 2026-04-30T20:00:00+02:00
Location: Faculty of Economics and Management, Czech University of Life Sciences

Apr 27 – 30, 2026

Faculty of Economics and Management, Czech University of Life Sciences

Europe/Prague timezone

Overview
Call for Abstracts
Timetable
Registration
Privacy Information

Local Organiser Contacts

klepkova@utia.cas.cz

LDNets: Latent Dynamics Networks, an architecture to learn and predict time variant fields

Apr 28, 2026, 5:10 PM

20m

Accept as Oral presentation non-COST Hybrid and Data-driven Modelling SESSION VII

Affiliation of the corresponding author	Politecnico di Milano, DMAT, MOX lab
Keywords	Scientific Machine Learning, Reduced Order Models, Latent Dynamics Networks
Preferred type of presentation	Oral
Are you a member of COST Action CA24136?	No, I am not
Are you applying for reimbursement?	No, I am not applying for reimbursement

Carlo Guastamacchia (Politecnico di Milano, DMAT, MOX lab) Prof. Luca Dede' (Politecnico di Milano, DMAT, MOX lab)

There are no materials yet.

NextGen Synergy: Control Theory and Machine Learning

Local Organiser Contacts

LDNets: Latent Dynamics Networks, an architecture to learn and predict time variant fields

Authors

Presentation materials

Choose timezone

NextGen Synergy: Control Theory and Machine Learning

Local Organiser Contacts

Authors

Presentation materials