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28th February 2022
13:30 to 14:00 Registration and lunch
14:00 to 14:15 Introduction Christie Marr (Isaac Newton Institute)
Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare)
14:15 to 15:15 Introduction to Deep Neural Networks Gitta Kutyniok (Ludwig-Maximilians-Universität München)
15:15 to 16:00 Tea and Coffee Break
16:00 to 17:00 Deep Neural Networks: From Approximation to Expressivity Gitta Kutyniok (Ludwig-Maximilians-Universität München)
17:00 to 18:00 Drinks and Networking
1st March 2022
09:30 to 10:00 Tea and Coffee
10:00 to 11:00 Deep Neural Networks: Analysing the Training Algorithm Gitta Kutyniok (Ludwig-Maximilians-Universität München)
11:00 to 11:30 Break
11:30 to 13:00 Challenges for Machine Learning Facilitated Discussion & Breakout Groups Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare)
Subhadip Mukherjee (University of Cambridge)
Marcello Carioni (Cambridge Centre for Analysis)
13:00 to 14:00 Lunch
14:00 to 15:00 Deep Neural Networks: The Mystery of Generalisation Gitta Kutyniok (Ludwig-Maximilians-Universität München)
15:00 to 15:30 Tea and Coffee Break
15:30 to 17:00 Discussion and Networking (via Zoom) - For ECR's to Engage with the Speakers
17:00 Close
2nd March 2022
09:30 to 10:00 Tea and Coffee
10:00 to 11:00 Deep Neural Networks: Opening the Black Box via Explainability Methods Gitta Kutyniok (Ludwig-Maximilians-Universität München)
11:00 to 11:30 Break
11:30 to 12:30 Deep Neural Networks: Towards Robustness Gitta Kutyniok (Ludwig-Maximilians-Universität München)
12:30 to 14:00 Lunch
14:00 to 15:30 Posters and Networking At INI and in Gathertown
15:30 to 16:00 Tea and Coffee Break
16:00 to 17:00 The Role of Linear Layers in Nonlinear Interpolating Networks Rebecca Willett (University of Chicago)
17:00 to 18:00 Break
19:30 Dinner - Selwyn College
3rd March 2022
09:30 to 10:00 Tea and Coffee
10:00 to 11:00 Limitations of Deep Neural Networks Gitta Kutyniok (Ludwig-Maximilians-Universität München)
11:00 to 11:30 Tea and Coffee Break
11:30 to 12:30 Machine Learning for the Sciences: Towards Understanding Klaus-Robert Müller (Technische Universität Berlin)
12:30 to 14:00 Lunch
14:00 to 15:00 Inverse Problems meet Deep Learning: Optimal Hybrid Methods Gitta Kutyniok (Ludwig-Maximilians-Universität München)
15:00 to 15:30 Tea and Coffee break
15:30 to 16:30 Benign Overfitting in Linear and Nonlinear Settings Peter Bartlett (University of California, Berkeley)
16:30 Close
4th March 2022
09:30 to 10:00 Tea and Coffee
10:00 to 11:00 Mathematics of Deep Learning: Some Open Problems Weinan E (Princeton University), (Princeton University)
11:00 to 11:30 Break
11:30 to 12:30 Partial Differential Equations meet Deep Learning: Beating the Curse of Dimensionality Gitta Kutyniok (Ludwig-Maximilians-Universität München)
12:30 to 14:00 Lunch
14:00 to 15:00 Mathematical Foundations of Deep Learning: Potential, Limitations, and Future Directions Gitta Kutyniok (Ludwig-Maximilians-Universität München)
15:00 to 15:15 Closing Remarks
15:15 Close