| 09:30 to 10:00 | Registration, Tea and Coffee | |||
| 10:00 to 10:10 | Welcome and Introduction. Update from Cantab Capital Institute for the Mathematics of Information |
Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare) Matthew Killeya (Cantab Capital Partners) |
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| 10:10 to 10:55 | Deep Neural Networks Motivated by PDEs | Lars Ruthotto (Emory University) |
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| 10:55 to 11:40 | Advances in supervised Learning of Visual Features | Armand Joulin (Facebook Research) |
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| 11:40 to 12:00 | Tea and Coffee | |||
| 12:00 to 12:05 | Introduction to Elevator Pitches | Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare) | ||
| 12:05 to 12:10 | ODE and PDE Based Modelling of Biological Transportation Networks | Lisa Maria Kreusser (University of Bath) |
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| 12:10 to 12:15 | Shrinkage Estimation in Regression with Categories | Benjamin Stokell (Cantab Capital Institute for the Mathematics of Information) |
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| 12:15 to 12:20 | Particle Filtering in High-dimensions | Torben Sell (Cantab Capital Institute for the Mathematics of Information), (University of Edinburgh) |
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| 12:20 to 12:25 | Achieving the Optimal Convergence Rate in Stochastic Optimisation | Derek Driggs (Cantab Capital Institute for the Mathematics of Information) |
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| 12:25 to 12:30 | Adaptation in Multivariate Log-Concave Density Estimation | Oliver Feng (University of Cambridge) |
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| 12:30 to 12:35 | Enhancing Joint Reconstruction and Segmentation with Non-Convex Bregman Iteration | Veronica Corona (University of Cambridge) |
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| 12:35 to 12:40 | Final Questions | |||
| 12:40 to 13:40 | Lunch and Posters | |||
| 13:40 to 14:10 | Deep Variational Models for Imaging Inverse Problems | Carola-Bibiane Schönlieb (University of Cambridge), (Cambridge Mathematics of Information in Healthcare) |
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| 14:10 to 14:40 | Trading on Textual Data using AI |
Meelis Lootus (Latona Medical Ltd) Janice Lister (Cantab Capital Partners LLP) |
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| 14:40 to 15:25 | Geometric Graph-Based Methods for High Dimensional Data | Andrea Bertozzi (University of California, Los Angeles) |
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| 15:25 to 15:45 | Tea and Coffee | |||
| 15:45 to 16:30 | Computational Optimisation for Machine Learning | Panos Parpas (Imperial College London) |
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| 16:30 to 17:00 | Have we Achieved Artificial Intelligence | Anders Hansen (University of Cambridge) |
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| 17:00 to 18:00 | Drinks and Networking Reception |
