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.
COVID-19 Symposium Day 1
COVID-19 Symposium Day 2
COVID-19 Symposium Day 1
Andrew Beam, Tristan Naumann, Tristan Naumann, Katherine Heller, Elaine Nsoesie
Tue, Dec 8th @ 20:00 GMT – Wed, Dec 9th @ 00:00 GMT
Abstract: 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.
To ask questions please use rocketchat, available only upon registration and login.
Schedule
Tue, Dec 8th, 2020 @ 20:00 – 20:15 GMT
Opening remarks
Tue, Dec 8th, 2020 @ 20:15 – 20:50 GMT
COVID-19: Can we test our way out of this?
Michael Mina
Tue, Dec 8th, 2020 @ 20:50 – 21:00 GMT
COVID-19: Can we test our way out of this? Q&A
Tue, Dec 8th, 2020 @ 21:00 – 21:35 GMT
A Journey Through the Disorderly World of Diagnostic and Prognostic Models for COVID-19
Laure Wynants
Tue, Dec 8th, 2020 @ 21:35 – 21:45 GMT
Wynats Q&A
Tue, Dec 8th, 2020 @ 21:45 – 22:20 GMT
Mobility network models of COVID-19 explain inequities and inform reopening
Emma Pierson
Tue, Dec 8th, 2020 @ 22:20 – 22:30 GMT
Emma Pierson Q&A
Tue, Dec 8th, 2020 @ 22:30 – 22:04 GMT
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
Zhaozhi Qian
Tue, Dec 8th, 2020 @ 22:34 – 22:38 GMT
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich
Tue, Dec 8th, 2020 @ 22:38 – 22:42 GMT
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
Yingxiang Yang
Tue, Dec 8th, 2020 @ 22:42 – 22:46 GMT
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
Sören Mindermann, Mrinank Sharma, Jan Brauner
Tue, Dec 8th, 2020 @ 22:46 – 22:50 GMT
Interpretable Sequence Learning for Covid-19 Forecasting
Sercan Arik
Tue, Dec 8th, 2020 @ 22:50 – 22:54 GMT
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Payel Das
Tue, Dec 8th, 2020 @ 22:54 – 22:58 GMT
Deep Direct Likelihood Knockoffs
Mukund Sudarshan
Tue, Dec 8th, 2020 @ 22:58 – 23:02 GMT
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
Uchenna Akujuobi
COVID-19 Symposium Day 2
Andrew Beam, Tristan Naumann, Tristan Naumann, Katherine Heller, Elaine Nsoesie
Wed, Dec 9th @ 20:00 GMT – Thu, Dec 10th @ 00:00 GMT
Abstract: 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.
To ask questions please use rocketchat, available only upon registration and login.
Schedule
Wed, Dec 9th, 2020 @ 20:00 – 20:15 GMT
Opening remarks for day 2 of COVID-19 Symposium
Wed, Dec 9th, 2020 @ 20:15 – 20:50 GMT
AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19
Aisha Walcott-Bryant
Wed, Dec 9th, 2020 @ 20:50 – 21:00 GMT
Walcott-Bryant Q&A
Aisha Walcott-Bryant
Wed, Dec 9th, 2020 @ 21:00 – 21:35 GMT
Bayesian nowcasting of COVID-19 regional test results in England
Chris C Holmes
Wed, Dec 9th, 2020 @ 21:35 – 21:45 GMT
Chris Holmes Q&A
Chris C Holmes
Wed, Dec 9th, 2020 @ 21:45 – 22:20 GMT
Moderna, Vaccine Science, and a Health Information Revolution
Noubar Afeyan
Wed, Dec 9th, 2020 @ 22:20 – 22:30 GMT
Break
Wed, Dec 9th, 2020 @ 22:30 – 22:34 GMT
Transfer Learning with Neural Motif Transformer for Predicting Protein-Protein Interactions Between SARS-CoV-2 and Humans
Jack Lanchantin
Wed, Dec 9th, 2020 @ 22:34 – 22:38 GMT
Addressing Public Health Literacy Disparities through Machine Learning: A Human in the Loop Augmented Intelligence based Tool for Public Health
Anjana Susarla
Wed, Dec 9th, 2020 @ 22:38 – 22:42 GMT
Quantifying Uncertainty in Deep Spatiotemporal Forecasting for COVID-19
Yi-An Ma, Rose Yu
Wed, Dec 9th, 2020 @ 22:42 – 22:46 GMT
Mobility network models of COVID-19 explain inequities and inform reopening
Serina Chang
Wed, Dec 9th, 2020 @ 22:46 – 22:50 GMT
Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic
SANTIAGO CORTES
Wed, Dec 9th, 2020 @ 22:50 – 22:54 GMT
Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds
Erik Drysdale
Wed, Dec 9th, 2020 @ 22:54 – 22:58 GMT
Using Wearables for Influenza-Like Illness Detection: The importance of design
Bret Nestor
Wed, Dec 9th, 2020 @ 22:58 – 23:02 GMT
A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
Claire Donnat
Wed, Dec 9th, 2020 @ 23:02 – 23:06 GMT
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
Marcin Skwark
Wed, Dec 9th, 2020 @ 23:06 – 23:10 GMT
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Signature of Disease
Manik Kuchroo