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

Deep Learning and Computations of PDE

Published September 2, 2020

Date: Wed. September 2, 2020
Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg
Title: Deep Learning and Computations of PDE

Speaker: Dr. Siddhartha Mishra
Affiliation: ETH Zürich

Abstract. –

  • Slides
Recording/Video:


_

Don’t miss out our Upcoming events!

|| Subscribe to our FAU DCN-AvH newsletter

  • FAUDCNAvHSeminar

You may also like

Published May 8, 2024

FAU DCN-AvH Jr. Seminar

Next Thursday May 16, 2024: Organized by: FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship […]

Published May 7, 2024

FAU MoD Seminar: Verifying Deep Reinforcement Learning Systems

Next Wednesday May 15, 2024: Event: FAU MoD Seminar Organized by: FAU MoD, Research Center for Mathematics of Data and FAU DCN-AvH, […]

Published September 9, 2020

Modelling choices in model-based Reinforcement Learning

Date: Wed. September 9, 2020 Organized by: FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU […]

Published July 23, 2021

PhD Thesis defense: Nodal Control and Probabilistic Constrained Optimization using the Example of Gas Networks by Michael Schuster

Date: Fri. July 23, 2021 Event: PhD Thesis Defense Title: Nodal Control and Probabilistic Constrained Optimization using the Example of Gas Networks […]

Post navigation

  • Previous post Stochastic Neural Dynamics
  • Back to post list
  • Next post Modelling choices in model-based Reinforcement Learning
Last news
  • FAU MoD workshop L. Liverani / H. Holthusen
  • A domain decomposition framework for coupling physics-based and data-driven models in multi-physics problems
  • CIRM Workshop – HYCO: A Hybrid-Cooperative Strategy for Data-Driven PDE Model Learning
  • ACOMEN2025
  • CIRM Workshop: Mathematical and Computational Foundations of Digital Twins

©  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