Joint calibration and mapping of satellite altimetry data using trainable variational models

7 October 2021

Papers citing "Joint calibration and mapping of satellite altimetry data using trainable variational models"

5 / 5 papers shown

Title
Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation Julian Mack Rossella Arcucci Miguel Molina-Solana Yi-Ke Guo 3DPC 82 35 0 06 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 682 41,483 0 22 Oct 2020
Learning Variational Data Assimilation Models and Solvers Ronan Fablet Bertrand Chapron Lucas Drumetz É. Mémin O. Pannekoucke F. Rousseau 63 71 0 25 Jul 2020
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model J. Brajard A. Carrassi Marc Bocquet Laurent Bertino 69 226 0 06 Jan 2020
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014