Peek & Burkhart (2019) – Do Androids Dream of Magnetic Fields? Using Neural Networks to Interpret the Turbulent Interstellar Medium
Marchal et al. (2019) – ROHSA: Regularized Optimization for Hyper-Spectral Analysis – Application to phase separation of 21 cm data
Tchernyshyov, Peek & Zasowski (2018) – Kinetic Tomography. II. A Second Method for Mapping the Velocity Field of the Milky Way Interstellar Medium and a Comparison with Spiral Structure Models
Galliano (2018) – A dust spectral energy distribution model with hierarchical Bayesian inference – I. Formalism and benchmarking
Müller et al. (2018) – Sharpening up Galactic all-sky maps with complementary data – A machine learning approach
