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Home All issues A&A, 626 (2019) A21 Article references

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Cited article:

A fading radius valley towards M dwarfs, a persistent density valley across stellar types

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Unveiling the internal structure and formation history of the three planets transiting HIP 29442 (TOI-469) with CHEOPS

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Astronomy & Astrophysics 688 A223 (2024)
https://doi.org/10.1051/0004-6361/202450472

Forming giant planets around late-M dwarfs: Pebble accretion and planet–planet collision

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Planet Formation—Observational Constraints, Physical Processes, and Compositional Patterns

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Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots

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https://doi.org/10.1093/rasti/rzad050

ExoMDN: Rapid characterization of exoplanet interior structures with mixture density networks

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Revisiting mass–radius relationships for exoplanet populations: a machine learning insight

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Monthly Notices of the Royal Astronomical Society 525 (3) 3469 (2023)
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PGNets: planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary discs

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Monthly Notices of the Royal Astronomical Society 510 (3) 4473 (2022)
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Photometric redshift estimation with convolutional neural networks and galaxy images: Case study of resolving biases in data-driven methods

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Astronomy & Astrophysics 662 A36 (2022)
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A proof-of-concept neural network for inferring parameters of a black hole from partial interferometric images of its shadow

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Machine-learning Inference of the Interior Structure of Low-mass Exoplanets

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Possible Atmospheric Diversity of Low Mass Exoplanets – Some Central Aspects

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A Machine Learning Model to Infer Planet Masses from Gaps Observed in Protoplanetary Disks

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The Astrophysical Journal 900 (1) 62 (2020)
https://doi.org/10.3847/1538-4357/aba95d