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COVID-19 Symposium Day 1
Andrew Beam · Tristan Naumann · Katherine Heller · Elaine Nsoesie

Tue Dec 08 12:00 PM -- 04:00 PM (PST) @ None

The COVID-19 global pandemic has disrupted nearly all aspects of modern life. This year NeurIPS will host a symposium on COVID-19 to frame challenges and opportunities for the machine learning community and to foster a frank discussion on the role of machine learning. A central focus of this symposium will be clearly outlining key areas where machine learning is and is not likely to make a substantive impact. The one-day event will feature talks from leading epidemiologists, biotech leaders, policy makers, and global health experts. Attendees of this symposium will gain a deeper understanding of the current state of the COVID-19 pandemic, challenges and limitations for current machine learning capabilities, how machine learning is accelerating COVID-19 vaccine development, and possible ways machine learning may aid in the present and future pandemics.

Tue 12:00 p.m. - 12:15 p.m.
Opening remarks (Introduction to COVID-19 Symposium)
Tue 12:15 p.m. - 12:50 p.m.
COVID-19: Can we test our way out of this? (Invited Talk) Video
Michael Mina
Tue 12:50 p.m. - 1:00 p.m.
COVID-19: Can we test our way out of this? Q&A (Live Q&A)
Tue 1:00 p.m. - 1:35 p.m.
A Journey Through the Disorderly World of Diagnostic and Prognostic Models for COVID-19 (Invited Talk) Video
Laure Wynants
Tue 1:35 p.m. - 1:45 p.m.
Wynats Q&A (Speaker Q&A)
Tue 1:45 p.m. - 2:20 p.m.
Mobility network models of COVID-19 explain inequities and inform reopening (Invited Talk) Video
Emma Pierson
Tue 2:20 p.m. - 2:30 p.m.
Emma Pierson Q&A (Q&A)
Tue 2:30 p.m. - 2:04 p.m.
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes (Spotlight) Video
Zhaozhi Qian
Tue 2:34 p.m. - 2:38 p.m.
Modern Hopfield Networks and Attention for Immune Repertoire Classification (Spotlight) Video
Michael Widrich
Tue 2:38 p.m. - 2:42 p.m.
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models (Spotlight) Video
Yingxiang Yang
Tue 2:42 p.m. - 2:46 p.m.
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? (Spotlight) Video
Sören Mindermann, Mrinank Sharma, Jan Brauner
Tue 2:46 p.m. - 2:50 p.m.
Interpretable Sequence Learning for Covid-19 Forecasting (Spotlight) Video
Sercan Arik
Tue 2:50 p.m. - 2:54 p.m.
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models (Spotlight) Video
Payel Das
Tue 2:54 p.m. - 2:58 p.m.
Deep Direct Likelihood Knockoffs (Spotlight) Video
Mukund Sudarshan
Tue 2:58 p.m. - 3:02 p.m.
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation (Spotlight) Video
Uchenna Akujuobi

Author Information

Andrew Beam (Harvard)
Tristan Naumann (Microsoft Research)
Katherine Heller (Duke)
Elaine Nsoesie (Boston University School of Medecine)

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