Date: Wed. - Fri. December 02 - 04, 2026 Event: FAU MoD Course Organizer: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg FAU MoD Course: Discovery…
Next Monday April 26, our Head Enrique Zuazua will be talking about “Neural Differential Equations, Control and Machine Learning” on the webinar by DSAD – Data Science Across Disciplines, a…
This summer, Prof. Enrique Zuazua (Friedrich-Alexander-Universität Erlangen-Nürnberg) joint with Prof. Giuseppe M. Coclite (Politecnico di Bari) are organizing the “PDEs, Control and Deep Learning” Summer School on July 22-26, 2024…
Next Fall on September 15 – 19, 2025 there is the 9th. international conference on “Advanced COmputational Methods in ENgineering and Applied Mathematics” (ACOMEN2025) in Ghent, Belgium. The conference aims…
Date: Fri. - Thu. May 2 - 8, 2025 Event: FAU MoD Course Organizer: FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg FAU MoD Course: Towards…
C. Esteve, B. Geshkovski, D. Pighin, E. Zuazua (2025) Large-time asymptotics in deep learning, https://hal.archives-ouvertes.fr/hal-02912516 Abstract. We consider the neural ODE perspective of supervised learning and study the impact of the…
D. Ruiz-Balet, E. Zuazua (2023)Neural ODE Control for Classification, Approximation and Transport, SIAM Review, Vol. 65, No. 3, pp. 735-773, https://doi.org/10.1137/21M1411433 Abstract. We analyze Neural Ordinary Differential Equations (NODEs) from…
At FAU MoD Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg, we were glad to have the free (online) two-day course on April 28-29th, 2022 about Deep Learning with…
Esteve C., Geshkovski B. Sparse approximation in learning via neural ODEs (2021) Abstract. We consider the continuous-time, neural ordinary differential equation (neural ODE) perspective of deep supervised learning, and study the…
Deep Learning and Paradigms Sergi Andreu, DeustoCCM // This post is the 2nd. part of the "Opening the black box of Deep Learning" post Deep Learning Now that we have…
Opening the black box of Deep Learning Sergi Andreu, DeustoCCM Deep Learning is one of the three main paradigms of Machine Learning, and roughly consists on extracting patterns from data…
Worldwide. This wednesday November 25th. our Head Enrique Zuazua will be talking about "Turnpike control and deep learning" in the Applied Mathematics Seminars for HKSIAM and Hong Kong Universities organized…
Last Friday October 23rd our team member Borjan Geshkovski PhD student at DyCon ERC Project from UAM, gave a talk at "Seminario de estadística" organized by the UAM - Universidad…
Worldwide. 08.09.2020. Yesterday, our Head Enrique Zuazua gave a talk about "Turnpike Control and Deep Learning" hosted by IITK - Indian Institute of Technology, Kampur in collaboration with IISER-Kolkata, IISER-Pune,…
Next tuesday September 8th, our Head Enrique Zuazua will present "Turnpike Control and Deep Learning" on the IITK research seminars organized by IITK- Indian Institute of Technology, Kanpur in collaboration with…
Worldwide. 01.09.2020. The Fields Institute for Research in Mathematical Sciences at the University of Toronto, Canada organized the Second Simposium on Machine Learning and Dynamical Systems on September 21st to…
