Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics

30 April 2022

Papers citing "Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics"

7 / 7 papers shown

Title
The Importance of Architecture Choice in Deep Learning for Climate Applications Simon Dräger Maike Sonnewald AI4CE 77 1 0 21 Feb 2024
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning William Yik Maike Sonnewald Mariana C. A. Clare Redouane Lguensat AI4Cl AI4CE 93 4 0 21 Oct 2023
On the choice of training data for machine learning of geostrophic mesoscale turbulence Fei Er Yan Julian Mak Yan Wang AI4CE 61 2 0 03 Jul 2023
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges Karan Jakhar Yifei Guan R. Mojgani Ashesh Chattopadhyay Pedram Hassanzadeh AI4Cl AI4CE 83 16 0 08 Jun 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 111 41 0 01 Mar 2023
Bayesian neural networks for the probabilistic forecasting of wind direction and speed using ocean data M. Clare M. Piggott BDL 25 4 0 14 Jun 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 284 197 0 03 Feb 2022