Deep Generative Data Assimilation in Multimodal Setting

Deep Generative Data Assimilation in Multimodal Setting

10 April 2024

Papers citing "Deep Generative Data Assimilation in Multimodal Setting"

14 / 14 papers shown

Title
Generative emulation of chaotic dynamics with coherent prior Juan Nathaniel Pierre Gentine AI4TS AI4CE 28 0 0 19 Apr 2025
Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference Xuechun Li Shan Gao Susu Xu DiffM 16 0 0 05 Apr 2025
A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling Pouya Shaeri Saud AlKhaled Ariane Middel AI4CE 53 1 0 11 Mar 2025
Ensemble Kalman filter in latent space using a variational autoencoder pair I. Pasmans Yumeng Chen Tobias S. Finn Marc Bocquet A. Carrassi 43 0 0 18 Feb 2025
Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders Aditya Mishra Ahnaf Mozib Samin Ali Etemad J. Hashemi 29 0 0 13 Jan 2025
On conditional diffusion models for PDE simulations Aliaksandra Shysheya Cristiana-Diana Diaconu Federico Bergamin P. Perdikaris José Miguel Hernández-Lobato Richard E. Turner Emile Mathieu DiffM 23 4 0 21 Oct 2024
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling Jaideep Pathak Y. Cohen Piyush Garg Peter Harrington Noah D. Brenowitz ... Morteza Mardani Arash Vahdat Shaoming Xu K. Kashinath Michael Pritchard DiffM AI4Cl 32 7 0 20 Aug 2024
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales Peter Manshausen Y. Cohen Jaideep Pathak Jaideep Pathak Piyush Garg Morteza Mardani K. Kashinath Simon Byrne Noah D. Brenowitz Noah Brenowitz 45 9 0 19 Jun 2024
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen Tao Chen Peng Ye Hao Chen Kang Chen Tao Han Wanli Ouyang Lei Bai 20 1 0 03 Jun 2024
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming Yongquan Qu Mohamed Aziz Bhouri Pierre Gentine AI4CE 14 4 0 04 Mar 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction Juan Nathaniel Yongquan Qu Tung Nguyen Sungduk Yu Julius J. M. Busecke Aditya Grover Pierre Gentine AI4Cl AI4TS 8 10 0 01 Feb 2024
Score-based Data Assimilation François Rozet Gilles Louppe 35 32 0 18 Jun 2023
Auto-differentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 19 33 0 16 Jul 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015