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researcher

Jesse M. Zhang

2 papers hereh-index 7466 citations10 works total

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

author position
  • middle author2

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

fields
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedPorcupine Neural Networks: (Almost) All Local Optima are Global

24 citations · 24 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2018

Generalizable Adversarial Training via Spectral Normalization

Farzan Farnia, Jesse M. Zhang, David Tse

Deep neural networks (DNNs) have set benchmarks on a wide array of supervised learning tasks. Trained DNNs, however, often lack robustness to minor adversarial perturbations to the…

stat.ML2017★ 24 cited

Porcupine Neural Networks: (Almost) All Local Optima are Global

Soheil Feizi, Hamid Javadi, Jesse Zhang +1

Neural networks have been used prominently in several machine learning and statistics applications. In general, the underlying optimization of neural networks is non-convex which m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.