LMS Invited Lecture Series 2022: The Mathematics of Deep Learning

Location
Isaac Newton Institute, UK and online
Start date
-
Meeting Date
Speakers
Professor Gitta Kutyniok (LMS, Munich)

 

An introductory lecture series by Professor Gitta Kutyniok (LMS, Munich) on the mathematics of deep learning, accompanied by a workshop.


LMS invited lectures by Gitta Kutyniok

  • Lecture 1: Introduction to Deep Neural Networks
  • Lecture 2: Deep Neural Networks: From Approximation to Expressivity
  • Lecture 3: Deep Neural Networks: Analyzing the Training Algorithm
  • Lecture 4: Deep Neural Networks: The Mystery of Generalization
  • Lecture 5: Deep Neural Networks: Opening the Black Box via Explainability Methods
  • Lecture 6: Deep Neural Networks: Towards Robustness
  • Lecture 7: Deep Neural Networks: Can Deep Neural Networks be Provably Fair?
  • Lecture 8: Inverse Problems meet Deep Learning: Optimal Hybrid Methods
  • Lecture 9: Partial Differential Equations meet Deep Learning: Beating the Curse of Dimensionality
  • Lecture 10: Mathematical Foundations of Deep Learning: Potential, Limitations, and Future Directions

    Accompanying lectures

  • Peter Bartlett: TBC
  • Weinan E: TBC
  • Klaus-Robert Müller: TBC

The Invited Lecture Series

The annual Invited Lecturers scheme aims to bring a distinguished overseas mathematician to the United Kingdom to present a small course of about ten lectures spread over a week. Each course of Invited Lectures is on a major field of current mathematical research, and is instructional in nature, being directed both at graduate students beginning research and at established mathematicians who wish to learn about a field outside their own research specialism.