3 papers
stat.AP2023
Answering open questions in biology using spatial genomics and structured methods
Siddhartha G Jena, Archit Verma, Barbara E Engelhardt
Genomics methods have uncovered patterns in a range of biological systems, but obscure important aspects of cell behavior: the shape, relative locations of, movement of, and intera…
cs.CR2020
MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent
K. R. Jayaram, Archit Verma, Ashish Verma +2
Federated learning enables multiple, distributed participants (potentially on different clouds) to collaborate and train machine/deep learning models by sharing parameters/gradient…
cs.LG2020
Nonparametric Deconvolution Models
Allison J. B. Chaney, Archit Verma, Young-suk Lee +1
We describe nonparametric deconvolution models (NDMs), a family of Bayesian nonparametric models for collections of data in which each observation is the average over the features…