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23rd May 2019
09:30 to 10:00 Registration, tea and coffee
10:00 to 10:10 Welcome and Introduction Jane Leeks (Newton Gateway to Mathematics)
David Abrahams (Isaac Newton Institute)
10:10 to 10:20 Introduction Anders Hansen (University of Cambridge)
10:20 to 11:00 Robustness and Geometry of Deep Neural Networks Alhussein Fawzi (Google DeepMind Technologies Limited)
11:00 to 11:20 Tea and Coffee
11:20 to 12:00 Fundamental Limitations on Adversarial Robustness Hamza Fawzi (University of Cambridge)
12:00 to 12:40 The Ethics of Algorithmic Decision Making Jennifer Boon (Centre for Data Ethics and Innovation)
12:40 to 13:40 Lunch
13:40 to 14:00 On Instabilities of Deep Learning in Image Reconstruction - Part I Vegard Antun (University of Oslo)
14:00 to 14:20 On Instabilities of Deep Learning in Image Reconstruction - Part II Matthew Colbrook (University of Cambridge)
14:20 to 14:40 A Stable Learning Framework Laura Thesing (University of Cambridge)
14:40 to 15:20 Privacy Preserving Machine Learning: A Human Imperative? Thomas Strohmer (University of California, Davis)
15:20 to 15:40 Tea and coffee
15:40 to 16:20 Meta Modelling and Deploying Machine Learning Software Neil Lawrence (Amazon)
16:20 to 17:00 The Moorfields - DeepMind Collaboration - Reinventing the Eye Exam using Deep Learning Pearse Keane (Moorfields Eye Hospital)
17:00 to 18:00 Drinks and Networking