| 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) |
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| 14:15 to 15:15 | Introduction to Deep Neural Networks | Gitta Kutyniok (Ludwig-Maximilians-Universität München) |
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| 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) |
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| 17:00 to 18:00 | Drinks and Networking |
| 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) |
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| 11:00 to 11:30 | Break | |||
| 11:30 to 13:00 | Challenges for Machine Learning Facilitated Discussion & Breakout Groups |
Subhadip Mukherjee (University of Bath) Marcello Carioni (Cambridge Centre for Analysis) Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare) |
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| 13:00 to 14:00 | Lunch | |||
| 14:00 to 15:00 | Deep Neural Networks: The Mystery of Generalisation | Gitta Kutyniok (Ludwig-Maximilians-Universität München) |
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| 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 |
| 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) |
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| 11:00 to 11:30 | Break | |||
| 11:30 to 12:30 | Deep Neural Networks: Towards Robustness | Gitta Kutyniok (Ludwig-Maximilians-Universität München) |
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| 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) |
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| 17:00 to 18:00 | Break | |||
| 19:30 | Dinner - Selwyn College |
| 09:30 to 10:00 | Tea and Coffee | |||
| 10:00 to 11:00 | Limitations of Deep Neural Networks | Gitta Kutyniok (Ludwig-Maximilians-Universität München) |
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| 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) |
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| 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) |
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| 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) |
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| 16:30 | Close |
| 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) |
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| 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) |
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| 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) |
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| 15:00 to 15:15 | Closing Remarks | |||
| 15:15 | Close |
