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06/26/2023
Tanimoto Random Features for Scalable Molecular Machine Learning
The Tanimoto coefficient is commonly used to measure the similarity betw...
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10/17/2022
Conditional Neural Processes for Molecules
Neural processes (NPs) are models for transfer learning with properties ...
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10/29/2021
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
The field of machine learning for drug discovery is witnessing an explos...
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04/16/2020
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
The coronavirus disease 2019 (COVID-19) has quickly grown from a regiona...
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06/29/2018
Bayesian Uncertainty Directed Trial Designs
Most Bayesian response-adaptive designs unbalance randomization rates to...
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11/03/2017
Bayesian Nonparametric Mixed Effects Models in Microbiome Data Analysis
Detecting associations between microbial composition and sample characte...
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10/23/2017
