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Found 4 papers, 2 papers with code
Conditional Neural Processes for Molecules
Neural processes (NPs) are models for transfer learning with properties reminiscent of Gaussian Processes (GPs).
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
The field of machine learning for drug discovery is witnessing an explosion of novel methods.
BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic
We gave a detailed illustration of why some early and highly influential analyses of the COVID-19 pandemic were severely biased.
Applications Methodology
Sequential Matrix Completion
We propose a novel algorithm for sequential matrix completion in a recommender system setting, where the $(i, j)$th entry of the matrix corresponds to a user $i$'s rating of product $j$.
