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07/13/2022
Deep Learning Discovery of Demographic Biomarkers in Echocardiography
Deep learning has been shown to accurately assess 'hidden' phenotypes an...
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04/30/2022
Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality
Background. Pre-operative risk assessments used in clinical practice are...
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10/13/2021
CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq
Single-cell RNA sequencing (scRNA-seq) has the potential to provide powe...
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06/23/2021
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning
Left ventricular hypertrophy (LVH) results from chronic remodeling cause...
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09/04/2019
Diversity Breeds Innovation With Discounted Impact and Recognition
Prior work poses a diversity paradox for science. Diversity breeds scien...
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11/01/2018
Minimizing Close-k Aggregate Loss Improves Classification
In classification, the de facto method for aggregating individual losses...
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09/07/2017
Inferring Generative Model Structure with Static Analysis
Obtaining enough labeled data to robustly train complex discriminative m...
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07/10/2017
Accelerated Stochastic Power Iteration
Principal component analysis (PCA) is one of the most powerful tools in ...
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03/02/2017
Learning the Structure of Generative Models without Labeled Data
Curating labeled training data has become the primary bottleneck in mach...
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10/25/2016
Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data
A challenge in training discriminative models like neural networks is ob...
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06/10/2016
