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12/02/2021
Learning Optimal Predictive Checklists
Checklists are simple decision aids that are often used to promote safet...
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05/09/2021
Segmenting Hybrid Trajectories using Latent ODEs
Smooth dynamics interrupted by discontinuities are known as hybrid syste...
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03/20/2021
An Empirical Framework for Domain Generalization in Clinical Settings
Clinical machine learning models experience significantly degraded perfo...
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02/21/2020
Memory-Based Graph Networks
Graph neural networks (GNNs) are a class of deep models that operate on ...
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04/10/2017
Reinterpreting Importance-Weighted Autoencoders
The standard interpretation of importance-weighted autoencoders is that ...
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08/11/2014
Comparing Nonparametric Bayesian Tree Priors for Clonal Reconstruction of Tumors
Statistical machine learning methods, especially nonparametric Bayesian ...
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06/27/2014
Reconstructing subclonal composition and evolution from whole genome sequencing of tumors
Tumors often contain multiple subpopulations of cancerous cells defined ...
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01/10/2013
Recognition Networks for Approximate Inference in BN20 Networks
We propose using recognition networks for approximate inference inBayesi...
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10/11/2012
Inferring clonal evolution of tumors from single nucleotide somatic mutations
High-throughput sequencing allows the detection and quantification of fr...
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05/09/2012