activity
20202023
most citedInterpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure

15 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.CO2023

The Star Formation Efficiency During Reionization as Inferred from the Hubble Frontier Fields

Jackson Sipple, Adam Lidz

A recent ultraviolet luminosity function (UVLF) analysis in the Hubble Frontier Fields, behind foreground lensing clusters, has helped solidify estimates of the faint-end of the $z…

cs.LG2022★ 1 cited

A general-purpose method for applying Explainable AI for Anomaly Detection

John Sipple, Abdou Youssef

The need for explainable AI (XAI) is well established but relatively little has been published outside of the supervised learning paradigm. This paper focuses on a principled appro…

astro-ph.HE2022★ 15 cited

The Lick Observatory Supernova Search follow-up program: photometry data release of 70 stripped-envelope supernovae

WeiKang Zheng, Benjamin E. Stahl, Thomas de Jaeger +85

We present BVRI and unfiltered Clear light curves of 70 stripped-envelope supernovae (SESNe), observed between 2003 and 2020, from the Lick Observatory Supernova Search (LOSS) foll…

astro-ph.CO2021★ 15 cited

Prospects for kSZ-Galaxy Cross-Correlations during Reionization

Paul La Plante, Jackson Sipple, Adam Lidz

We explore a new approach for extracting reionization-era contributions to the kinetic Sunyaev-Zel'dovich (kSZ) effect. Our method utilizes the cross-power spectrum between filtere…

eess.SP2020★ 15 cited

Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure

John Sipple

Complex devices are connected daily and eagerly generate vast streams of multidimensional state measurements. These devices often operate in distinct modes based on external condit…