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researcher

J. Cosentino

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

most citedThe Search for Sparse, Robust Neural Networks

15 citations · 17 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.GN2020

Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology

Babak Alipanahi, Farhad Hormozdiari, Babak Behsaz +10

Genome-wide association studies (GWAS) require accurate cohort phenotyping, but expert labeling can be costly, time-intensive, and variable. Here we develop a machine learning (ML)…

cs.LG2019★ 15 cited

The Search for Sparse, Robust Neural Networks

Justin Cosentino, Federico Zaiter, Dan Pei +1

Recent work on deep neural network pruning has shown there exist sparse subnetworks that achieve equal or improved accuracy, training time, and loss using fewer network parameters…

cs.LG2019★ 2 cited

Generative Well-intentioned Networks

Justin Cosentino, Jun Zhu

We propose Generative Well-intentioned Networks (GWINs), a novel framework for increasing the accuracy of certainty-based, closed-world classifiers. A conditional generative networ…

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