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physics.space-ph2023
High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery
Shreshth A. Malik, James Walsh, Giacomo Acciarini +2
Accurate estimation of thermospheric density is critical for precise modeling of satellite drag forces in low Earth orbit (LEO). Improving this estimation is crucial to tasks such…
cs.LG2023
BatchGFN: Generative Flow Networks for Batch Active Learning
Shreshth A. Malik, Salem Lahlou, Andrew Jesson +5
We introduce BatchGFN -- a novel approach for pool-based active learning that uses generative flow networks to sample sets of data points proportional to a batch reward. With an ap…