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- Harvard UniversityUS53 papers
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11 papers · 1 filter
The necessity and power of random, under-sampled experiments in biology
Brian Cleary, Aviv Regev
A vast array of transformative technologies developed over the past decade has enabled measurement and perturbation at ever increasing scale, yet our understanding of many systems…
CellSegmenter: unsupervised representation learning and instance segmentation of modular images
Luca D'Alessio, Mehrtash Babadi
We introduce CellSegmenter, a structured deep generative model and an amortized inference framework for unsupervised representation learning and instance segmentation tasks. The pr…
The Human Cell Atlas & Equity: Lessons Learned
Partha P. Majumder, Musa M. Mhlanga, Alex K. Shalek
The Human Cell Atlas has been undergoing a massive effort to support global scientific equity. The co-leaders of its Equity Working Group share some lessons learned in the process.
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary
Ming Y. Lu, Melissa Zhao, Maha Shady +4
Cancer of unknown primary (CUP) is an enigmatic group of diagnoses where the primary anatomical site of tumor origin cannot be determined. This poses a significant challenge since…
Individual-level Modeling of COVID-19 Epidemic Risk
Andres Colubri, Kailash Yadav, Abhishek Jha +1
The ongoing COVID-19 pandemic calls for a multi-faceted public health response comprising complementary interventions to control the spread of the disease while vaccines and therap…
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
Geoff Pleiss, Martin Jankowiak, David Eriksson +2
Matrix square roots and their inverses arise frequently in machine learning, e.g., when sampling from high-dimensional Gaussians or whitening a…