Output-weighted and relative entropy loss functions for deep learning precursors of extreme events

1 December 2021

Papers citing "Output-weighted and relative entropy loss functions for deep learning precursors of extreme events"

5 / 5 papers shown

Title
Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data Huan Zhang J. Finkel D. Abbot Edwin P. Gerber J. Weare 26 2 0 12 Apr 2024
A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification Xianliang Gong Yulin Pan 13 1 0 22 Oct 2023
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance Mackenzie J. Meni Ryan T. White Michael L. Mayo K. Pilkiewicz BDL 22 3 0 28 Aug 2023
A Multi-Scale Deep Learning Framework for Projecting Weather Extremes A. Blanchard N. Parashar B. Dodov C. Lessig T. Sapsis AI4Cl 16 11 0 21 Oct 2022
Model-assisted deep learning of rare extreme events from partial observations Anna Asch Ethan Brady Hugo Gallardo John Hood Bryan Chu M. Farazmand 24 13 0 04 Nov 2021