19 citations · 19 across the 1 of their papers we have counts for
3 papers
physics.geo-ph2024
Earthquake magnitudes depend on seismic history, as revealed by a neural network analysis
Neri Berman, Oleg Zlydenko, Oren Gilon +2
Earthquake occurrence is notoriously difficult to predict. While some aspects of their spatiotemporal statistics can be relatively well captured by point-process models, very littl…
cs.CG2020
Incidences between points and curves with almost two degrees of freedom
Micha Sharir, Noam Solomon, Oleg Zlydenko
We study incidences between points and algebraic curves in three dimensions, taken from a family of curves that have almost two degrees of freedom, meaning that every pair of c…
cs.LG2019★ 19 cited
ML for Flood Forecasting at Scale
Sella Nevo, Vova Anisimov, Gal Elidan +11
Effective riverine flood forecasting at scale is hindered by a multitude of factors, most notably the need to rely on human calibration in current methodology, the limited amount o…