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Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR)

Biprateep Dey, David Zhao, Brett H Andrews, Jeffrey A Newman et al. • Machine Learning: Science and Technology (2025)

Key science questions, such as galaxy distance estimation and weather forecasting, often require knowing the full predictive distribution of a target variable Y given complex inputs X . Despite recent advances in machine learning and physic...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/ae1f05

Artificial Intelligence for Enhancing Resilience

Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence (2024)

In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...

OPENALEX cc-by DOI: https://doi.org/10.2139/ssrn.4831911

A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution

Joseph W. Lockwood, Avantika Gori, Pierre Gentine • Journal of Geophysical Research: Machine Learning and Computation (2024)

Abstract Extreme winds associated with tropical cyclones (TCs) can cause significant loss of life and economic damage globally, highlighting the need for accurate, high‐resolution modeling and forecasting for wind. However, due to their coa...

DOAJ Open Access (DOAJ) DOI: 10.1029/2024JH000375