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Symposium
COVID-19 Symposium Day 1
Andrew Beam · Tristan Naumann · Katherine Heller · Elaine Nsoesie
Tue Dec 08 12:00 PM -- 04:00 PM (PST) @
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.
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Tue 12:00 p.m. - 12:15 p.m.
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Opening remarks
(Introduction to COVID-19 Symposium)
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Tue 12:15 p.m. - 12:50 p.m.
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COVID-19: Can we test our way out of this?
(Invited Talk)
SlidesLive Video » |
Michael Mina 🔗 |
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Tue 12:50 p.m. - 1:00 p.m.
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COVID-19: Can we test our way out of this? Q&A
(Live Q&A)
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Tue 1:00 p.m. - 1:35 p.m.
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A Journey Through the Disorderly World of Diagnostic and Prognostic Models for COVID-19
(Invited Talk)
SlidesLive Video » |
Laure Wynants 🔗 |
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Tue 1:35 p.m. - 1:45 p.m.
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Wynats Q&A
(Speaker Q&A)
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Tue 1:45 p.m. - 2:20 p.m.
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Mobility network models of COVID-19 explain inequities and inform reopening
(Invited Talk)
SlidesLive Video » |
Emma Pierson 🔗 |
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Tue 2:20 p.m. - 2:30 p.m.
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Emma Pierson Q&A
(Q&A)
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Tue 2:30 p.m. - 2:04 p.m.
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When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
(Spotlight)
SlidesLive Video » |
Zhaozhi Qian 🔗 |
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Tue 2:34 p.m. - 2:38 p.m.
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Modern Hopfield Networks and Attention for Immune Repertoire Classification
(Spotlight)
SlidesLive Video » |
Michael Widrich 🔗 |
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Tue 2:38 p.m. - 2:42 p.m.
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The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
(Spotlight)
SlidesLive Video » |
Yingxiang Yang 🔗 |
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Tue 2:42 p.m. - 2:46 p.m.
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How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
(Spotlight)
SlidesLive Video » |
Sören Mindermann · Mrinank Sharma · Jan Brauner 🔗 |
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Tue 2:46 p.m. - 2:50 p.m.
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Interpretable Sequence Learning for Covid-19 Forecasting
(Spotlight)
SlidesLive Video » |
Sercan Arik 🔗 |
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Tue 2:50 p.m. - 2:54 p.m.
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CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
(Spotlight)
SlidesLive Video » |
Payel Das 🔗 |
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Tue 2:54 p.m. - 2:58 p.m.
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Deep Direct Likelihood Knockoffs
(Spotlight)
SlidesLive Video » |
Mukund Sudarshan 🔗 |
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Tue 2:58 p.m. - 3:02 p.m.
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Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
(Spotlight)
SlidesLive 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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