3 papers
stat.ML2025
Deep Huber quantile regression networks
Hristos Tyralis, Georgia Papacharalampous, Nilay Dogulu +1
Typical machine learning regression applications aim to report the mean or the median of the predictive probability distribution, via training with a squared or an absolute error s…
cs.CY2024
Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives
Kwok P Chun, Thanti Octavianti, Nilay Dogulu +24
Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster…
physics.soc-ph2024
Unravelling compound risks of hydrological extremes in a changing climate: Typology, methods and futures
Kwok P Chun, Thanti Octavianti, Georgia Papacharalampous +21
We have witnessed and experienced increasing compound extreme events resulting from simultaneous or sequential occurrence of multiple events in a changing climate. In addition to a…