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researcher

J. F. Wycoff

2 papers hereh-index 229 citations3 works total

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

author position
  • first author1
  • middle author1

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

fields
  • cond-mat.dis-nn1
  • cond-mat.soft1

identity via Semantic Scholar / OpenAlex

most citedDesynchronous Learning in a Physics-Driven Learning Network

28 citations · 28 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.dis-nn2025

Analog Physical Systems Can Exhibit Double Descent

Sam Dillavou, Jason W Rocks, Jacob F Wycoff +2

An important component of the success of large AI models is double descent, in which networks avoid overfitting as they grow relative to the amount of training data, instead improv…

cond-mat.soft2022★ 28 cited

Desynchronous Learning in a Physics-Driven Learning Network

Jacob F Wycoff, Sam Dillavou, Menachem Stern +2

In a neuron network, synapses update individually using local information, allowing for entirely decentralized learning. In contrast, elements in an artificial neural network (ANN)…

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