Accepted Papers & Posters
Given the NeurIPS 2021 format, all scheduled events will be online. The full schedule with timings is posted here.
Best Paper Awards Noted in Blue
Best papers awarded according to review comments and reviewer nominations during the review process.Contributed talks
Deep Learning for Spatiotemporal Modeling of Urbanization
Authors: Tang Li (University of Delaware)*; Jing Gao (University of Delaware); Xi Peng (University of Delaware)
Restless Bandits in the Field: Real-World Study for Improving Maternal and Child Health Outcomes
Aditya S Mate (Harvard University)*; Lovish Madaan (Google Research); Aparna Taneja (Google); Neha H Madhiwalla (ARMMAN); Shresth Verma (Google Research India); Gargi Singh (Google); Aparna Hegde (ARMMAN); Pradeep Varakantham (Singapore Management University); Milind Tambe (Google Research, India)
Demand prediction of mobile clinics using public data
Authors: Haipeng Chen (Harvard University)*; Susobhan Ghosh (Harvard University); Gregory H Fan (Harvard Medical School); Nikhil S Behari (Harvard University); Arpita Biswas (Harvard University); Mollie Williams (Harvard Medical School); Nancy Oriol (Family Van); Milind Tambe (Harvard University)
Role of Attachment Variables in Resilient Families
Authors: Tathagata Banerjee (Washington University in St. Louis)*; Nathaniel House (Saint Louis University)
Lightning Talks
Assisted Living in the United States: an Open Dataset
Authors: Anton Stengel (Princeton University)*; Jaan Altosaar (Columbia University Irving Medical Center); Authors: Rebecca Dittrich (ATI Advisory); Noemie Elhadad (Columbia University)
A Brief Summary on Covid-19 Pandemic & Machine Learning Approaches
Authors: Ezgi Korkmaz (KTH Royal Institute of Technology)*
Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits
Authors: Ben Chugg (Stanford)*
An mHealth Intervention for African American and Hispanic Adults: Preliminary Results from a One-Year Field Test
Authors: Christine R Herlihy (University of Maryland, College Park)*; Shuo Huang (University of Maryland, College Park); Madeline Diep (Fraunhofer CMA); Neil Johnson (University of Maryland, College Park); Neil Sehgal (University of Maryland, College Park); John P Dickerson (University of Maryland); Devlon Jackson (University of Maryland, College Park); Cynthia Baur (University of Maryland, College Park)
Kronecker Factorization for Preventing Catastrophic Forgetting
Authors: Denis Jered McInerney (Northeastern)*; Luyang Kong (Amazon Research); Kristjan Arumae (Qualtrics); Byron Wallace (Northeastern); Parminder Bhatia (Amazon)
A probabilistic approach to evaluating Cryptosporidium health risk in drinking water
Yirao Zhang (UBC)*, Nicolás Peleato (UBC)
Learning after Deployment: The Missed Tale of Supervision
Aviral Chharia (Thapar Institute of Engineering & Technology)*; Neeraj Kumar (Thapar University, India)
Posters
Predicting Migraine Early from Fitbit Data with Deep Learning
Authors: Stephen Price (Carnegie Mellon University)*; Raghu Kainkaryam (Evidation); Elizabeth Phillips (Evidation); Arinbjörn Kolbeinsson (Evidation); Luca Foschini (Evidation)
General Framework for Evaluating Outbreak Prediction, Detection and Annotation Algorithms
Authors: Stephane Ghozzi (Helmholtz Centre for Infection Research)*; Auss Abbood (Robert Koch Institute)
Exploring the Temporal Dynamics of County-Level Vulnerability Factors on COVID-19 Outcomes
Authors: Jing Zhang (Emory University)*; Daesung Choi (Emory University); Shivani Patel (Rollins School of Public Health, Emory University, Atlanta, United States ); Joyce Ho (Emory University)
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network
Authors: Yash Sharma (University of Virginia)*; Nicholas Coronato (University of Virginia); Donald Brown (University of Virginia)
Discovering Alternative Food Proteins with Manifold Exploration and Spectral Clustering
Authors: Geoffroy Dubourg-Felonneau (Shiru, INC)*; Shahab Shams (the university of Texas at Dallas); Eyal Akiva (Shiru, INC); Lawrence Lee (Shiru, INC)
COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India
Authors: Mayank Agarwal (IBM Research (MIT-IBM Watson AI Lab))*; Tathagata Chakraborti (IBM Research); Sachin Grover (Arizona State University); Arunima Chaudhury (IBM Research)
A Recommendation System to Enhance Midwives’ Capacities in Low-Income Countries
Authors: Anna Guitart Atienza (benshi.ai)*; Ana Fernández (benshi.ai); Africa Perianez (benshi.ai); Eniola Olaleye (benshi.ai); Jelena Ljubicic (benshi.ai); Lauren Bellhouse (Maternity Foundation); Afsaneh Heydari (benshi.ai)
A Markov Chain Based Compartmental Model for COVID-19 in South Korea
Authors: Sujin Ahn (Soongsil university)*; Minhae Kwon (Soongsil University)
Reaching out: Towards a sustainable allocation strategy between users and therapists
Authors: Prateek Chanda (Microsoft)*
Poster, PDF
Modelling Patient Journeys with Sharded Encoder Blocks and Federated Split Learning
Authors: Jonathan Passerat-Palmbach (Imperial College London / ConsenSys Health); Anna Beer (Imperial College London)*; Chiraag Lala (Imperial College London)
Poster, PDF