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B. Simmons

4 papers hereh-index 213 citations12 works total

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

author position
  • middle author1
  • last author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM3
  • cs.LG1
same name
  • B. Simmons — 60 papers
  • B. Simmons — 39 papers
  • B. Simmons — 36 papers, h 34
  • B. Simmons — 34 papers
  • B. Simmons — 12 papers
  • B. Simmons — 6 papers

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

most citedA transient search using combined human and machine classifications

51 citations · 51 across the 2 of their papers we have counts for

collaborators

4 papers

astro-ph.IM2025

Galaxy Zoo Evo: 1 million human-annotated images of galaxies

Mike Walmsley, Steven Bamford, Hugh Dickinson +17

We introduce Galaxy Zoo Evo, a labeled dataset for building and evaluating foundation models on images of galaxies. GZ Evo includes 104M crowdsourced labels for 823k images from fo…

astro-ph.IM2025

The La Silla Schmidt Southern Survey

Adam A. Miller, Natasha S. Abrams, Greg Aldering +75

We present the La Silla Schmidt Southern Survey (LS4), a new wide-field, time-domain survey to be conducted with the 1 m ESO Schmidt telescope. The 268 megapixel LS4 camera mosaics…

cs.LG2025

Improving Deep Ensembles by Estimating Confusion Matrices

Danil Kuzin, Olga Isupova, Steven Reece +1

Ensembling in deep learning improves accuracy and calibration over single networks. The traditional aggregation approach, ensemble averaging, treats all individual networks equally…

astro-ph.IM2017★ 51 cited

A transient search using combined human and machine classifications

Darryl E. Wright, Chris J. Lintott, Stephen J. Smartt +22

Large modern surveys require efficient review of data in order to find transient sources such as supernovae, and to distinguish such sources from artefacts and noise. Much effort h…

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