18 citations · 29 across the 5 of their papers we have counts for
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physics.geo-ph2024★ 18 cited
Towards physics-informed neural networks for landslide prediction
Ashok Dahal, Luigi Lombardo
For decades, solutions to regional scale landslide prediction have mostly relied on data-driven models, by definition, disconnected from the physics of the failure mechanism. The s…
cs.LG2024
At the junction between deep learning and statistics of extremes: formalizing the landslide hazard definition
Ashok Dahal, Raphaël Huser, Luigi Lombardo
The most adopted definition of landslide hazard combines spatial information about landslide location (susceptibility), threat (intensity), and frequency (return period). Only the…