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13th June 2019
09:30 to 10:00 Registration, Tea and Coffee
Session 1: Matthew Killeya, Cantab Capital Partners LLP
10:00 to 10:10 Welcome and Introduction - Update from Cantab Capital Institute for the Mathematics of Information Nigel Peake (University of Cambridge)
Matthew Killeya (Cantab Capital Partners)
10:10 to 10:55 Uncertainty, Unique Continuation, Approximation and Nonlocal Inverse Problems Angkana Ruland (Max-Planck-Institut für Mathematik, Leipzig)
10:55 to 11:40 Continuum Limits in Semi-Supervised Learning Matthew Thorpe (Cantab Capital Institute for the Mathematics of Information)
11:40 to 12:00 Tea and Coffee
Session 2: Elevator Pitches - Matthew Thorpe, Cantab Capital Institute for the Mathematics of Information
12:00 to 12:05 VAE's for Artefact Detection and Imputation in Physiological Signals Tom Edinburgh (Cantab Capital Institute for the Mathematics of Information)
12:05 to 12:10 Intensity Image Reconstruction in Event-based Cameras Tamara Großmann (Cantab Capital Institute for the Mathematics of Information)
12:10 to 12:15 Sequential Testing and High-dimensional Online Change Point Detection Yudong Chen (Cantab Capital Institute for the Mathematics of Information)
12:15 to 12:20 Can we Reconstruct Languages of the Past? Thomas Marge (Cantab Capital Institute for the Mathematics of Information)
12:20 to 12:25 Polynomial Structure Term Models Thomas Du Toit (Cantab Capital Institute for the Mathematics of Information)
12:30 to 12:40 CCIMI Video Contest Winner: Wavelet Compression Meets Fractals Hanne Kekkonen (Cantab Capital Institute for the Mathematics of Information)
12:40 to 13:40 Lunch and Posters
Session 3: Hanne Kekkonen, Cantab Capital Institute for the Mathematics of Information
13:40 to 14:25 Sampling with Confidence Ulrike Tillmann (University of Oxford)
14:25 to 15:10 Optimal Transport in Data Sciences Marco Cuturi (Ecole Nationale de la Statistique et de l'Administration Economique (ENSAE)), (Google Brain)
15:10 to 15:30 Tea and Coffee
Session 4: Alberto Coca, Cantab Capital Institute for the Mathematics of Information
15:30 to 16:15 Diffeomorphic Learning Laurent Younes (Johns Hopkins University)
16:15 to 17:00 Bayesian Inference for Non-linear Inverse Problems Richard Nickl (University of Cambridge)
17:00 to 18:00 Drinks & Networking Reception