Compressing multidimensional weather and climate data into neural networks

22 October 2022

Papers citing "Compressing multidimensional weather and climate data into neural networks"

29 / 29 papers shown

Title
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders Guozhong Li Muhannad Alhumaidi Spiros Skiadopoulos Ibrahim Hoteit Panos Kalnis AI4CE 7 0 0 08 May 2025
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks Johannes Dollinger Damien Robert Elena Plekhanova Lukas Drees Jan Dirk Wegner AI4CE 30 0 0 07 Apr 2025
ARC: Anchored Representation Clouds for High-Resolution INR Classification Joost Luijmes Alexander Gielisse Roman Knyazhitskiy J. C. V. Gemert 47 1 0 19 Mar 2025
Transforming Weather Data from Pixel to Latent Space Sijie Zhao Feng Liu Xueliang Zhang Hao Chen Tao Han Junchao Gong R. Tao P. Xiao Lei Bai Wanli Ouyang 33 0 0 09 Mar 2025
Lossy Neural Compression for Geospatial Analytics: A Review Carlos Gomes Isabelle Wittmann Damien Robert Johannes Jakubik Tim Reichelt ... Romeo Kienzler Rania Briq Sabrina Benassou Michele Lazzarini C. Albrecht 77 2 0 03 Mar 2025
Enhancing Implicit Neural Representations via Symmetric Power Transformation Weixiang Zhang Shuzhao Xie Chengwei Ren Shijia Ge Mingzi Wang Zhi Wang 69 2 0 12 Dec 2024
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion Jona Ballé Luca Versari Emilien Dupont Hyunjik Kim Matthias Bauer DiffM 86 1 0 30 Nov 2024
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data Alif Bin Abdul Qayyum Xihaier Luo Nathan M. Urban Xiaoning Qian Byung-Jun Yoon AI4Cl 11 0 0 25 Sep 2024
Implicit Neural Representation For Accurate CFD Flow Field Prediction L. D. Vito Nils Pinnau Simone Dey AI4CE 27 1 0 12 Aug 2024
CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer Tao Han Zhenghao Chen Song Guo Wanghan Xu Lei Bai 19 6 0 06 May 2024
DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders Geert De Paepe Lesley De Cruz 33 0 0 28 Apr 2024
A Survey on Error-Bounded Lossy Compression for Scientific Datasets Sheng Di Jinyang Liu Kai Zhao Xin Liang Robert Underwood ... Jon C. Calhoun Guanpeng Li Kazutomo Yoshii Khalid Ayed Alharthi Franck Cappello AI4CE 22 2 0 03 Apr 2024
Hybrid Neural Representations for Spherical Data Hyomin Kim Yunhui Jang Jaeho Lee Sungsoo Ahn 14 3 0 05 Feb 2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks Xihaier Luo Wei-ping Xu Yihui Ren Shinjae Yoo B. Nadiga 16 2 0 21 Jan 2024
C3: High-performance and low-complexity neural compression from a single image or video Hyunjik Kim Matthias Bauer Lucas Theis Jonathan Richard Schwarz Emilien Dupont VGen 10 23 0 05 Dec 2023
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks M. Rußwurm Konstantin Klemmer Esther Rolf Robin Zbinden D. Tuia 22 32 0 10 Oct 2023
Climate-sensitive Urban Planning through Optimization of Tree Placements Simon Schrodi Ferdinand Briegel Max Argus Andreas Christen Thomas Brox AI4CE 37 0 0 09 Oct 2023
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions Z. Chen Zhong Li Liangchen Song Lele Chen Jingyi Yu Junsong Yuan Yinghao Xu 19 57 0 27 Sep 2023
Earth Virtualization Engines -- A Technical Perspective Torsten Hoefler B. Stevens A. Prein Johanna Baehr T. Schulthess ... Milan Klöwer K. Kashinath Christoph M. Schär O. Fuhrer Bryan Lawrence 14 2 0 16 Sep 2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks Jinyang Liu Sheng Di Sian Jin Kai Zhao Xin Liang Zizhong Chen Franck Cappello 12 8 0 07 Sep 2023
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations E. L. Naour Louis Serrano Léon Migus Yuan Yin G. Agoua Nicolas Baskiotis Patrick Gallinari Vincent Guigue BDL AI4TS 11 9 0 09 Jun 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning Jihoon Tack Subin Kim Sihyun Yu Jaeho Lee Jinwoo Shin Jonathan Richard Schwarz 8 9 0 01 Feb 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz Jihoon Tack Yee Whye Teh Jaeho Lee Jinwoo Shin 11 25 0 23 Jan 2023
Myths and Legends in High-Performance Computing Satoshi Matsuoka Jens Domke M. Wahib Aleksandr Drozd Torsten Hoefler 10 14 0 06 Jan 2023
Meta-Learning Sparse Compression Networks Jonathan Richard Schwarz Yee Whye Teh 49 25 0 18 May 2022
COIN++: Neural Compression Across Modalities Emilien Dupont H. Loya Milad Alizadeh Adam Goliñski Yee Whye Teh Arnaud Doucet 42 80 0 30 Jan 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 128 679 0 31 Jan 2021
Clairvoyant Prefetching for Distributed Machine Learning I/O Nikoli Dryden Roman Böhringer Tal Ben-Nun Torsten Hoefler 29 55 0 21 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017