Removing systematic errors for exoplanet search via latent causes. - Bernhard Schölkopf; David W. Hogg; Dun Wang; Daniel Foreman-Mackey; Dominik Janzing; Carl-Johann Simon-Gabriel; Jonas Peters (ICML, 2015)

corner.py: Scatterplot matrices in Python. - Daniel Foreman-Mackey (J. Open Source Softw., 2016)

Fast Direct Methods for Gaussian Processes. - Sivaram Ambikasaran; Daniel Foreman-Mackey; Leslie Greengard; David W. Hogg; Michael O'Neil (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Modeling confounding by half-sibling regression. - Bernhard Schölkopf; David W. Hogg; Dun Wang; Daniel Foreman-Mackey; Dominik Janzing; Carl-Johann Simon-Gabriel; Jonas Peters (Proc. Natl. Acad. Sci. USA, 2016)

schwimmbad: A uniform interface to parallel processing pools in Python. - Adrian M. Price-Whelan; Daniel Foreman-Mackey (J. Open Source Softw., 2017)

stardate: Combining dating methods for better stellar ages. - Ruth Angus; Timothy D. Morton; Daniel Foreman-Mackey (J. Open Source Softw., 2019)

emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC. - Daniel Foreman-Mackey; Will Farr; Manodeep Sinha; Anne M. Archibald; David W. Hogg; Jeremy Sanders; Joe Zuntz; Peter H. Williams; Andrew R. J. Nelson; Miguel de Val-Borro; Tobias Erhardt; Ilya Pashchenko; et al. (J. Open Source Softw., 2019)

Maelstrom: A Python package for identifying companions to pulsating stars from their light travel time variations. - Daniel Hey; Simon Murphy; Daniel Foreman-Mackey; Timothy Bedding; Benjamin J. S. Pope; David W. Hogg (J. Open Source Softw., 2020)

'exoplanet': Gradient-based probabilistic inference for exoplanet data & other astronomical time series. - Daniel Foreman-Mackey; Rodrigo Luger; Eric Agol; Thomas Barclay; Luke G. Bouma; Timothy D. Brandt; Ian Czekala; Trevor J. David; Jiayin Dong; Emily A. Gilbert; Tyler A. Gordon; Christina Hedges; et al. (J. Open Source Softw., 2021)

starry_process: Interpretable Gaussian processes for stellar light curves. - Rodrigo Luger; Daniel Foreman-Mackey; Christina Hedges (J. Open Source Softw., 2021)

flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX. - Kaze W. K. Wong; Marylou Gabrié; Daniel Foreman-Mackey (J. Open Source Softw., 2023)