287 citations · 2.8k across the 69 of their papers we have counts for
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A Machine Learning Based Search for Lunar Anomalies
Cameron Kelahan, Daniel Angerhausen, Adam Lesnikowski +1
The Lunar Reconnaissance Orbiter (LRO) has been collecting high-resolution images (at around 0.5-2 meters per pixel linearly with its Narrow Angle Camera) of the Moon since 2009, a…
The Dyson Minds 2025 Workshop: SETI around Black Holes
Olivia Curtis, Van Hunter Adams, Daniel Angerhausen +9
The Dyson Minds 2025 Workshop, held at the Center for Brains, Minds & Machines at MIT and organized by Penn State, MIT, and The Ultraintelligence Foundation, brought together resea…
Machine Learning as a Transformative Tool for (Exo-)Planetary Science
J. Davoult, V. T. Bickel, C. Haslebacher +11
The exploration of planetary bodies in our Solar system and beyond relies on the processing and interpretation of large, spatio-temporally inconsistent, and heterogeneous datasets.…
Probing thermal gradients of habitable-zone rocky planets as an anti-indicator of a global surface ocean using mid-infrared direct imaging
Yuka Fujii, Daniel Angerhausen, Taro Matsuo +1
Future direct-imaging missions such as the Large Interferometer for Exoplanets (LIFE) aim to observe thermal emission from potentially habitable planets to characterize their surfa…