Skip to content
Back Home
  • Home
  • The Chair
    • About
    • Our Head
    • Our Team
    • Contact
    • Past Members
  • Research
    • Publications
    • Projects
    • Teaching
    • Initiatives
    • Posts on Math and Research
    • Contributors
  • Join us!
    • Careers
    • Events
    • Past Events
  • Resources
    • Seminars / Lectures
    • Math to go!
    • Academy
    • GitHub
  • Search
Back Home
  • Search
  • Home
  • The Chair
    • About
    • Our Head
    • Our Team
    • Contact
    • Past Members
  • Research
    • Publications
    • Projects
    • Teaching
    • Initiatives
    • Posts on Math and Research
    • Contributors
  • Join us!
    • Careers
    • Events
    • Past Events
  • Resources
    • Seminars / Lectures
    • Math to go!
    • Academy
    • GitHub

Controllability of Neural ODEs for Classification

Published October 1, 2024

Event: CIN-PDE 2024

• Antonio Álvarez López, UAM. Autonomous University of Madrid
• Enrique Zuazua, FAU DCN-AvH/FAU MoD. Friedrich-Alexander-Universität Erlangen–Nürnberg

Controllability of Neural ODEs for Classification
View this poster

You may also like

Published March 1, 2021

Non-local PDE and Control

• Umberto Biccari, University of Deusto | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Non-local PDE and Control View this poster

Published March 1, 2021

The Singular Limit of Nonlocal Conservation Laws to Local Conservation Laws

• Giuseppe Maria Coclite, Polytechnic University of Bari • Jean-Michel Coron, Université Pierre et Marie Curie • Nicola De Nitti, Friedrich-Alexander-Universität Erlangen–Nürnberg […]

Published March 1, 2021

Long Time Control

• Dario Pighin, UAM | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Long Time Control View this poster

Published March 1, 2021

Sparse Initial Source Identification for a Diffusion – Advection Equation

• Umberto Biccari, University of Deusto | DeustoCCM • Yongcun Song, Friedrich-Alexander-Universität Erlangen–Nürnberg • Yuan Xiaoming, The University of Hong Kong • […]

Post navigation

  • Previous post FAU MoD Lecture: Thoughts on Machine Learning
  • Back to post list
  • Next post Hybrid Parabolic-hyperbolic Effect for Heat Equations With Memory
Last news
  • FAU MoD Lecture: AI for maths and maths for AI
  • LSMS 2025 – PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
  • FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work?
  • HYCO: The hybrid-collapse strategy for time-independent PDEs
  • vocatium Fürth 2025

©  2019 - 2025  – All rights reserved - FAU DCN-AvH Chair for Dynamics, Control and Numerics - Alexander von Humboldt Professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany Imprint | Privacy | Accessibility | Contact