Most engineering domains abound with models derived from first principles that have
beenproven to be effective for decades. These models are not only a valuable source of …

This is an exciting era for exo-planetary exploration. The recently launched JWST, and other
upcoming space missions such as Ariel, Twinkle, and ELTs are set to bring fresh insights to …

Astrophysical light curves are particularly challenging data objects due to the intensity and
variety of noise contaminating them. Yet, despite the astronomical volumes of light curves …

In the domain of space science, numerous ground-based and space-borne data of various
phenomena have been accumulating rapidly, making analysis and scientific interpretation …

This is an exciting era for exo-planetary exploration. The recently launched JWST, and other
upcoming space missions such as Ariel, Twinkle and ELTs are set to bring fresh insights to …

The study of extra-solar planets, or simply, exoplanets, planets outside our own Solar
System, is fundamentally a grand quest to understand our place in the Universe. Discoveries …

Accurate and timely detection of bow shock and magnetopause crossings is essential for
understanding the dynamics of a planet's magnetosphere. However, for Mercury, due to the …

The goal of this white paper is to provide a snapshot of the data availability and data needs
primarily for the Ariel space mission, but also for related atmospheric studies of exoplanets …

Safe operation of machine learning models requires architectures that explicitly delimit their
operational ranges. We evaluate the ability of anomaly detection algorithms to provide …

We describe a machine-learning-based surrogate model for reproducing the Bayesian
posterior distributions for exoplanet atmospheric parameters derived from transmission …