Latent assimilation with implicit neural representations for unknown dynamics

18 September 2023

Papers citing "Latent assimilation with implicit neural representations for unknown dynamics"

20 / 20 papers shown

Title
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics Zhuoyuan Li Bin Dong Linyue Chu 72 0 0 31 Jul 2024
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead Kan Chen Tao Han Junchao Gong Lei Bai Fenghua Ling ... Rui Su Yuanzheng Ci Bin Li Xiaokang Yang Wanli Ouyang AI4Cl AI4CE 164 182 0 06 Apr 2023
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast Kaifeng Bi Lingxi Xie Hengheng Zhang Xin Chen Xiaotao Gu Qi Tian AI4Cl 68 159 0 03 Nov 2022
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations Julius Berner Jinxu Xiang D. Cho Yue Chang G. Pershing H. Maia Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 54 41 0 06 Jun 2022
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models Sibo Cheng Jianhua Chen Charitos Anastasiou P. Angeli Omar K. Matar Yi-Ke Guo Christopher C. Pain Rossella Arcucci AI4CE 62 60 0 07 Apr 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja Ashesh Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli Pedram Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 202 682 0 22 Feb 2022
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 60 63 0 05 Oct 2021
Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation S. Penny T. A. Smith Tse-Chun Chen Jason A. Platt Hsin-Yi Lin M. Goodliff H. Abarbanel AI4CE 80 42 0 25 Sep 2021
Modulated Periodic Activations for Generalizable Local Functional Representations Ishit Mehta Michael Gharbi Connelly Barnes Eli Shechtman R. Ramamoorthi Manmohan Chandraker 41 155 0 08 Apr 2021
Latent Space Data Assimilation by using Deep Learning Mathis Peyron Anthony Fillion S. Gürol Victor Marchais Serge Gratton Pierre Boudier G. Goret AI4CE 44 46 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 63 105 0 23 Oct 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 466 2,384 0 18 Oct 2020
ReZero is All You Need: Fast Convergence at Large Depth Thomas C. Bachlechner Bodhisattwa Prasad Majumder H. H. Mao G. Cottrell Julian McAuley AI4CE 68 279 0 10 Mar 2020
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs S. Fresca Luca Dede' Andrea Manzoni AI4CE 54 262 0 12 Jan 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 208 2,108 0 08 Oct 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 118 3,677 0 16 Jan 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 356 5,081 0 19 Jun 2018
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems E. Weinan Ting Yu 115 1,380 0 30 Sep 2017
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks Samy Bengio Oriol Vinyals Navdeep Jaitly Noam M. Shazeer 133 2,032 0 09 Jun 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 512 12,692 0 11 Dec 2014