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Deep learning and partial differential equations


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15th November 2021 to 19th November 2021
Arnulf Jentzen
Weinan E Princeton University
Philipp Grohs University of Vienna, Austrian Academy of Sciences
Gitta Kutyniok Ludwig-Maximilians-Universität München

Workshop theme:

This workshop will focus on the connections of deep learning and partial differential equations (PDEs). Key topics of this workshop will be

(i) the design of deep learning-based approximation algorithms for PDEs,

(ii) the rigorous mathematical analysis of such deep learning-based approximation algorithms,

(iii) the performance of such deep learning-based approximation algorithms in the context of high-dimensional PDEs,

(iv) applications, e.g., in optimal control problems, in quantum physics, in nonlinear filtering problems, or in derivative pricing problems, of deep learning-based approximation methods for PDEs, and

(v) the use PDE techniques for studying deep learning-based methodologies.

Deadline for applications: 9th May 2021

MDL programme participants DO NOT need to apply, programme participants with visit dates during MDLW03 will automatically be added to the attendee list.

Please note members of Cambridge University are welcome to turn up and sign in as a non-registered attendee on the day(s) during the workshop and attend the lecture(s). Please note that we cannot provide you with any support including name badge, meals or accommodation.

In addition to visiting the INI, there are multiple ways in which you can participate remotely.

Apply now


Registration Only    
  • Registration Package: £TBC
  • Student Registration Package: £TBC

The Registration Package includes admission to all seminars, lunches and refreshments on the days that lectures take place (Monday - Friday), wine reception and formal dinner, but does not include other meals or accommodation.

Formal Dinner Only
  • Formal Dinner: £50

Participants on the Accommodation Package or Registration Package, including organisers and speakers, are automatically included in this event. For all remaining participants who would like to attend, such as programme participants, the above charge will apply.


Unfortunately we do not have any accommodation to offer so all successful applicants will need to source their own accommodation.  Please see the Hotels Combined website for a list of local hotels and guesthouses.



Lunch timings and location will be confirmed with timetable.

Evening Meal

Participants are free to make their own arrangements for dinner.

Formal Dinner

The Formal Dinner location and date is to be confirmed. Participants on the Accommodation Package or Registration Package, including organisers and speakers, are automatically included in this event.

University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons