Prediction of GNSS Phase Scintillations: A Machine Learning Approach. - Kara Lamb; Garima Malhotra; Athanasios Vlontzos; Edward Wagstaff; Atilim Günes Baydin; Anahita Bhiwandiwalla; Yarin Gal; Alfredo Kalaitzis; Anthony Reina; Asti Bhatt (CoRR, 2019)

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. - Kara Lamb; Garima Malhotra; Athanasios Vlontzos; Edward Wagstaff; Atilim Günes Baydin; Anahita Bhiwandiwalla; Yarin Gal; Alfredo Kalaitzis; Anthony Reina; Asti Bhatt (CoRR, 2019)

Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System. - Kyleen Liao; Jatan Buch; Kara Lamb; Pierre Gentine (CoRR, 2023)

Deep Koopman operator framework for causal discovery in nonlinear dynamical systems. - Juan Nathaniel; Carla Roesch; Jatan Buch; Derek DeSantis; Adam Rupe; Kara Lamb; Pierre Gentine (CoRR, 2025)

A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals from Cloud Particle Imagery. - Joseph Ko; Jerry Harrington; Kara Sulia; Vanessa Przybylo; Marcus van Lier-Walqui; Kara Lamb (CoRR, 2025)