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Matthew J. Graham

4 papers hereh-index 322 citations9 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 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM3
  • cs.LG1
same name
  • Matthew J. Graham — 16 papers, h 5
  • Matthew J. Graham — 1 paper, h 2
  • Matthew J. Graham — 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

collaborators

4 papers

astro-ph.IM2025

Pre-training vision models for the classification of alerts from wide-field time-domain surveys

Nabeel Rehemtulla, Adam A. Miller, Mike Walmsley +15

Modern wide-field time-domain surveys facilitate the study of transient, variable and moving phenomena by conducting image differencing and relaying alerts to their communities. Ma…

astro-ph.IM2025

AppleCiDEr II: SpectraNet -- A Deep Learning Network for Spectroscopic Data

Maojie Xu, Argyro Sasli, Alexandra Junell +21

Time-domain surveys such as the Zwicky Transient Facility (ZTF) have opened a new frontier in the discovery and characterization of transients. While photometric light curves provi…

astro-ph.IM2025

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure

Alexandra Junell, Argyro Sasli, Felipe Fontinele Nunes +18

Modern time-domain surveys like the Zwicky Transient Facility (ZTF) and the Legacy Survey of Space and Time (LSST) generate hundreds of thousands to millions of alerts, demanding a…

cs.LG2025

Building Machine Learning Challenges for Anomaly Detection in Science

Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova +148

Scientific discoveries are often made by finding a pattern or object that was not predicted by the known rules of science. Oftentimes, these anomalous events or objects that do not…

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