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researcher

Jeffrey M. Ede

10 papers hereh-index 9413 citations18 works total

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

author position
  • sole author6
  • first author3

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV6
  • cs.CV2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedReview: Deep Learning in Electron Microscopy

107 citations · 240 across the 9 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020★ 1 cited

Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning

Jeffrey M. Ede

Compressed sensing can decrease scanning transmission electron microscopy electron dose and scan time with minimal information loss. Traditionally, sparse scans used in compressed…

cs.LG2019★ 22 cited

Adaptive Learning Rate Clipping Stabilizes Learning

Jeffrey M. Ede, Richard Beanland

Artificial neural network training with stochastic gradient descent can be destabilized by "bad batches" with high losses. This is often problematic for training with small batch s…

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