Ensemble Kalman filter in latent space using a variational autoencoder pair

Ensemble Kalman filter in latent space using a variational autoencoder pair

18 February 2025

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Papers citing "Ensemble Kalman filter in latent space using a variational autoencoder pair"

15 / 15 papers shown

Title
AI-Aided Kalman Filters Nir Shlezinger Guy Revach Anubhab Ghosh Saikat Chatterjee Shuo Tang Tales Imbiriba J. Duník O. Straka Pau Closas Yonina C. Eldar 145 7 0 16 Oct 2024
Towards diffusion models for large-scale sea-ice modelling Tobias S. Finn Charlotte Durand A. Farchi Marc Bocquet J. Brajard 108 2 0 26 Jun 2024
Learning Optimal Filters Using Variational Inference Enoch Luk Eviatar Bach Ricardo Baptista Andrew Stuart 73 7 0 26 Jun 2024
Deep Generative Data Assimilation in Multimodal Setting Yongquan Qu Juan Nathaniel Shuolin Li Pierre Gentine 3DGS 70 19 0 10 Apr 2024
Learning to Assimilate in Chaotic Dynamical Systems Michael McCabe Jed Brown AI4TS 75 11 0 01 Nov 2021
A comparison of nonlinear extensions to the ensemble Kalman filter: Gaussian Anamorphosis and Two-Step Ensemble Filters Ian G. Grooms 99 10 0 15 Jul 2021
Latent Space Data Assimilation by using Deep Learning Mathis Peyron Anthony Fillion S. Gürol Victor Marchais Serge Gratton Pierre Boudier G. Goret AI4CE 64 47 0 01 Apr 2021
Using machine learning to correct model error in data assimilation and forecast applications A. Farchi P. Laloyaux Massimo Bonavita Marc Bocquet AI4CE 70 105 0 23 Oct 2020
Combining data assimilation and machine learning to infer unresolved scale parametrisation J. Brajard A. Carrassi Marc Bocquet Laurent Bertino 56 115 0 09 Sep 2020
Analog ensemble data assimilation and a method for constructing analogs with variational autoencoders Ian G. Grooms 41 29 0 01 Jun 2020
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization Marc Bocquet J. Brajard A. Carrassi Laurent Bertino 64 104 0 17 Jan 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 57 226 0 06 Jan 2020
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 105 2,364 0 06 Jun 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 68 381 0 14 Mar 2019
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 347 18,654 0 06 Feb 2015

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