Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets

25 October 2023

Papers citing "Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets"

17 / 17 papers shown

Title
$β$ -Variational autoencoders and transformers for reduced-order modelling of fluid flows Alberto Solera-Rico Carlos Sanmiguel Vila Miguel Gómez-López Yuning Wang Abdulrahman Almashjary Scott T. M. Dawson Ricardo Vinuesa DRL 54 83 0 07 Apr 2023
Machine learning emulation of a local-scale UK climate model Henry Addison Elizabeth Kendon Suman V. Ravuri Laurence Aitchison Peter A. G. Watson AI4Cl AI4CE 56 23 0 29 Nov 2022
Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs Tailin Wu Qi Meng Bin Chen Shiqi Gong Yue Wang Wei Chen Rongchan Zhu Zhirui Ma Tie-Yan Liu AI4CE 49 11 0 13 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 230 689 0 22 Feb 2022
Sinkformers: Transformers with Doubly Stochastic Attention Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 68 82 0 22 Oct 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 158 369 0 05 Oct 2021
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation Andreas Voskou Konstantinos P. Panousis D. Kosmopoulos Dimitris N. Metaxas S. Chatzis SLR 80 43 0 01 Sep 2021
Data-driven discovery of intrinsic dynamics D. Floryan M. Graham AI4CE 131 75 0 12 Aug 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar Suman V. Ravuri Karel Lenc Matthew Willson D. Kangin Rémi R. Lam ... R. Hadsell Nial H. Robinson Ellen Clancy A. Arribas S. Mohamed AI4Cl 173 738 0 02 Apr 2021
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 497 2,401 0 18 Oct 2020
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction Alice Martin Charles Ollion Florian Strub Sylvain Le Corff Olivier Pietquin 38 6 0 15 Jul 2020
Deep learning to discover and predict dynamics on an inertial manifold Alec J. Linot M. Graham AI4CE 31 75 0 20 Dec 2019
Time2Vec: Learning a Vector Representation of Time Seyed Mehran Kazemi Rishab Goel Sepehr Eghbali J. Ramanan Jaspreet Sahota Sanjay Thakur Stella Wu Cathal Smyth Pascal Poupart Marcus A. Brubaker AI4TS 66 342 0 11 Jul 2019
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 144 1,438 0 22 Jun 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 71 1,250 0 27 Dec 2017
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 169 5,000 0 27 Jun 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013