Symposium – Title: Crowd-sourcing Machine Learning in NMR
Following on from the success of the Kaggle competition that Champs PDRA Lars Anderson Bratholm ran last year he is now organising a Symposium to be held on Thursday 5th March 2020.
Title, abstract and schedule below (subject to change):
Crowd-sourcing Machine Learning in NMR
The rise of machine learning (ML) has led to an explosion in potential strategies which may be used to learn from data in order to make scientific predictions. For physical scientists who wish to apply ML strategies to a particular domain, the vast number of strategies available has made it difficult to make an a priori assessment of what strategy to adopt. This is further complicated when similar domains have not been previously explored in the literature.
Recently, we worked with Kaggle to design a competition which encouraged data scientists around the world to develop ML models for predicting pairwise nuclear magnetic resonance (NMR) properties for synthetically relevant chemical compounds. Over 3 months, we received 47,800 ML model submissions from 2700 teams in 84 countries, with the top models outperforming our own previously published methods. The success this strategy has cultivated highlights the potential of crowd-sourced ML approaches across a range of scientific domains.
This symposium will introduce the background and main findings of the competition, including the context of computational NMR, the Kaggle platform and presentations from the top performing teams of the competition.
Location: Lecture Theater 2.41, Fry Building, Bristol BS8 1TH
Schedule – Thursday 5th March:
10:00 – 11:15: Registration
11:15 – 11:50: Craig Butts and Will Gerrard
11:50 – 12:25: Addison Howard and Walter Reade
12:25 – 13:15: Lunch
13:15 – 13:50: Lars Andersen Bratholm
13:50 – 14:25: Brandon Anderson
14:25 – 14:40: Break
14:40 – 15:15: Luka Stojanovic and Milos Popovic
15:15 – 15:50: Youhan Lee and Sunghwan Choi
15:50 – 16:05: Break
16:05 – 16:40: Andres Torrubia
16:40 – 17:15: Devin Wilmott
17:15 – 18:15: Drinks reception
An Eventbrite registration, link below, has been set up. Numbers are limited (due to lecture theatre capacity) and will be allocated on a first come, first served basis. If you wish to attend please can you complete the form so we can plan for numbers and catering on the day.