Machine Learning in Physics

Wednesday 7 Dec 2016, 13:00 → 18:40 GB

LG1 (G. O. Jones Building)

The purpose of this meeting is to raise awareness of machine learning techniques in physics, highlighting pitfalls and best practice through examples. While the organising committe is drawn from the particle physics community we are open to talks from any physics related application. Unless otherwise specified talks are schedule for 20' with 10' for discussion and there will be a coffee break mid afternoon. We will organise a networking session at the end of the day to continue discussions.

1 Refreshments

Coffee and tea will be available prior to the start of the meeting.

2 Introduction

Set the tone and context of of the meeting.

Speaker: Dr A Bevan (Queen Mary)

3 Yandex experience of machine learning in HEP

Speaker: Dr Denis Derkach (Yandex)

4 Experience with Deep Learning at NOvA

Speaker: Dr Jonathan Davies (University of Sussex)

5 Generalisation methods

Speaker: Tom Stevenson (Queen Mary)

6 Coffee Break

7 Learning cosmological structure formation with random forests

Speaker: Luisa Lucie-Smith (UCL)

8 Recent improvements to the Toolkit for Multivariate Analysis (TMVA)

Speaker: Dr Sergei Gleyzer (University of Florida)

9 Developments and discussion

Speaker: Dr A Bevan (Queen Mary)

10 Networking Session