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07/28/2022
MarkerMap: nonlinear marker selection for single-cell studies
Single-cell RNA-seq data allow the quantification of cell type differenc...
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04/02/2022
Dimensionless machine learning: Imposing exact units equivariance
Units equivariance is the exact symmetry that follows from the requireme...
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09/24/2021
Approximate Latent Force Model Inference
Physically-inspired latent force models offer an interpretable alternati...
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10/11/2019
Nonparametric Bayesian multi-armed bandits for single cell experiment design
The problem of maximizing cell type discovery under budget constraints i...
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06/01/2019
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Multi-output Gaussian processes (GPs) are a flexible Bayesian nonparamet...
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05/24/2019
Sequential Gaussian Processes for Online Learning of Nonstationary Functions
Many machine learning problems can be framed in the context of estimatin...
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05/18/2018