AD
Andrew M. Dai
cs.LGstat.MLcs.AIcs.CLcs.CVcs.CYAngiotensin-converting enzyme inhibitorsAngiotensin receptor antagonistsCoronavirus infectionscs.CR
On Valency
published · living versionsW_5vz5yxu5·v1 · currentpublished
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
with William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Shakir Mohamed +1
1 version
Preprints & journals
23 papers in the corpus · 2014–2024Hypertension, renin-angiotensin-aldosterone-system-blocking agents, and COVID-19.34059140 · Kang, Si-Hyuck, Lee, Dong-Hoon, Han, Kyung-Do et al.2024 · 9 citationsClinical hypertension. 2021;27(1):11
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction2407.19359v1 · Yuan Xue, Nan Du, Anne Mottram et al.2024 · 0 citationsarXiv
Deep State-Space Generative Model For Correlated Time-to-Event Predictions2407.19371v1 · Yuan Xue, Denny Zhou, Nan Du et al.2024 · 8 citationsarXiv
From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models2407.09502v1 · Eleni Nisioti, Claire Glanois, Elias Najarro et al.2024 · 5 citationsarXiv
Massively Multilingual Shallow Fusion with Large Language Models2302.08917v1 · Ke Hu, Tara N. Sainath, Bo Li et al.2023 · 15 citationsarXiv
Adversarial Training Methods for Semi-Supervised Text Classification1605.07725v4 · Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 201 citationsarXiv
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records2102.02340v2 · Zhen Xu, David R. So, Andrew M. Dai2021 · 50 citationsarXiv
Training independent subnetworks for robust prediction2010.06610v2 · Marton Havasi, Rodolphe Jenatton, Stanislav Fort et al.2020 · 28 citationsarXiv
Impacts of Social Distancing Policies on Mobility and COVID-19 Case Growth in the US2004.10172v4 · Gregory A. Wellenius (1, Swapnil Vispute Valeria Espinosa, Alex Fabrikant et al.2020 · 198 citationsNat Commun 12, 3118 (2021)
Predicting Inpatient Medication Orders From Electronic Health Record Data.32141068 · Rough, Kathryn, Dai, Andrew M, Zhang, Kun et al.2021 · 28 citationsClinical pharmacology and therapeutics. 2020;108(1):145-154
Reply: metrics to assess machine learning models.31304336 · Rajkomar, Alvin, Dai, Andrew M, Sun, Mimi et al.2020 · 23 citationsNPJ digital medicine. 2018;1:57
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)2009.01265v1 · Shailesh Bavadekar, Andrew Dai, John Davis et al.2020 · 16 citationsarXiv
Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss2007.05189v1 · Kamil Nar, Yuan Xue, Andrew M. Dai2020 · 1 citationarXiv
Capacity, Bandwidth, and Compositionality in Emergent Language Learning1910.11424v3 · Cinjon Resnick, Abhinav Gupta, Jakob Foerster et al.2019 · 14 citationsarXiv
Flow Contrastive Estimation of Energy-Based Models1912.00589v2 · Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma et al.2019 · 68 citationsarXiv
Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes1909.03039v3 · Jonas Kemp, Alvin Rajkomar, Andrew M. Dai2019 · 12 citationsarXiv
Modelling EHR timeseries by restricting feature interaction1911.06410v1 · Kun Zhang, Yuan Xue, Gerardo Flores et al.2019 · 5 citationsarXiv
Learning an Adaptive Learning Rate Schedule1909.09712v1 · Zhen Xu, Andrew M. Dai, Jonas Kemp et al.2019 · 38 citationsarXiv
Explaining an increase in predicted risk for clinical alerts1907.04911v1 · Michaela Hardt, Alvin Rajkomar, Gerardo Flores et al.2019 · 8 citationsarXiv
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step1710.08446v3 · William Fedus, Mihaela Rosca, Balaji Lakshminarayanan et al.2017 · 159 citationsarXivon Valency
Who Said What: Modeling Individual Labelers Improves Classification1703.08774v2 · Melody Y. Guan, Varun Gulshan, Andrew M. Dai et al.2017 · 215 citationsarXiv
The supervised hierarchical Dirichlet process1412.5236v1 · Andrew M. Dai, Amos J. Storkey2014 · 36 citationsarXiv
Career total: 32 works. 23 are in this corpus.Showing the 22 most recent.
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