Andrew Vanderburg

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 4

Top Topics

Backward Chaining

Unsupervised Learning

Top Venues

Publications

Mariona Badenas-Agusti, Javier Viaña, Andrew Vanderburg, Simon Blouin, Patrick Dufour, Siyi Xu, Siyi Sha
cecilia: A Machine Learning-Based Pipeline for Measuring Metal Abundances of Helium-rich Polluted White Dwarfs. CoRR (2024)
Evan Tey, Dan Moldovan, Michelle Kunimoto, Chelsea X. Huang, Avi Shporer, Tansu Daylan, Daniel Muthukrishna, Andrew Vanderburg, Anne Dattilo, George R. Ricker, S. Seager
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations. CoRR (2023)
Javier Viaña, Andrew Vanderburg
Forcing the Network to Use Human Explanations in Its Inference Process. NAFIPS (2023)
Zoe L. de Beurs, Andrew Vanderburg, Christopher J. Shallue, Xavier Dumusque, Andrew Collier Cameron, Lars A. Buchhave, Rosario Cosentino, Adriano Ghedina, Raphaëlle D. Haywood, Nicholas Langellier, David W. Latham, Mercedes López-Morales, Michel Mayor, Giusi Micela, Timothy W. Milbourne, Annelies Mortier, Emilio Molinari, Francesco Pepe, David F. Phillips, Matteo Pinamonti, Giampaolo Piotto, Ken Rice, Dimitar Sasselov, Alessandro Sozzetti, Stéphane Udry, Christopher A. Watson
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks. CoRR (2020)