Michelle Lochner

11 papers C 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration.
CoRR
LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz, Matthew R. Becker, Biswajit Biswas, Rahul Biswas, Boris Bolliet, Adam S. Bolton, Clecio R. Bom, Raphaël Bonnet-Guerrini, Alexandre Boucaud, Jean-Eric Campagne, Chihway Chang, Aleksandra Ciprijanovic, Johann Cohen-Tanugi, Michael W. Coughlin, John Franklin Crenshaw, Juan C. Cuevas-Tello, Juan de Vicente, Seth W. Digel, Steven Dillmann, Mariano Javier de León Dominguez Romero, Alex Drlica-Wagner, Sydney Erickson, Alexander T. Gagliano, Christos Georgiou, Aritra Ghosh, Matthew Grayling, Kirill A. Grishin, Alan Heavens, Lindsay R. House, Mustapha Ishak, Wassim Kabalan, Arun Kannawadi, François Lanusse, C. Danielle Leonard, Pierre-François Léget, Michelle Lochner, Yao-Yuan Mao, Peter Melchior, Grant Merz, Martin Millon, Anais Möller, Gautham Narayan, Yuuki Omori, Hiranya Peiris, Laurence Perreault Levasseur, Andrés Alejandro Plazas Malagón, Nesar Ramachandra, Benjamin Remy, Cécile Roucelle, Jaime Ruiz-Zapatero, Stefan Schuldt, Ignacio Sevilla-Noarbe, Ved G. Shah, Tjitske Starkenburg, Stephen Thorp, Laura Toribio San Cipriano, Tilman Tröster, Roberto Trotta, Padma Venkatraman, Amanda Wasserman, Tim White, Justine Zeghal, Tianqing Zhang, Yuanyuan Zhang
2024 J jnl
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series.
CoRR
Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner
2024 J jnl
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients.
CoRR
Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner
2021 J jnl
Astronomaly: Personalised active anomaly detection in astronomical data.
Astron. Comput.
Michelle Lochner, Bruce A. Bassett
2021 J jnl
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning.
CoRR
Mike Walmsley, Anna M. M. Scaife, Chris J. Lintott, Michelle Lochner, Verlon Etsebeth, Tobias Géron, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen L. Masters, Kameswara Bharadwaj Mantha, Brooke D. Simmons
2021 J jnl
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data.
CoRR
Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan
2021 J jnl
Real-time detection of anomalies in large-scale transient surveys.
CoRR
Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan
2020 J jnl
Bayesian anomaly detection and classification for noisy data.
Int. J. Hybrid Intell. Syst.
Ethan Roberts, Bruce A. Bassett, Michelle Lochner
2019 C conf
Bayesian Anomaly Detection and Classification for Noisy Data.
ISDA
Ethan Roberts, Bruce A. Bassett, Michelle Lochner
2019 J jnl
Bayesian Anomaly Detection and Classification.
CoRR
Ethan Roberts, Bruce A. Bassett, Michelle Lochner
2018 J jnl
DeepSource: Point Source Detection using Deep Learning.
CoRR
Alireza Vafaei Sadr, Etienne Eben Vos, Bruce A. Bassett, Zafiirah Hosenie, Nadeem Oozeer, Michelle Lochner