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researcher

J. Caldeira

8 papers hereh-index 7430 citations11 works total

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

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM3
  • astro-ph.CO2
  • quant-ph2
  • cs.LG1
same name
  • J. Caldeira — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedDeeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms

84 citations · 216 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2020★ 84 cited

Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms

João Caldeira, Brian Nord

We present a comparison of methods for uncertainty quantification (UQ) in deep learning algorithms in the context of a simple physical system. Three of the most common uncertainty…

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