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Neural Network Emulator for Atmospheric Chemical ODE

3 August 2024

Papers citing "Neural Network Emulator for Atmospheric Chemical ODE"

27 / 27 papers shown

Title
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation Wenqing Peng Zhi-Song Liu Michael Boy 81 0 0 08 May 2025
Geometry-Informed Neural Operator for Large-Scale 3D PDEs Zong-Yi Li Nikola B. Kovachki Chris Choy Boyi Li Jean Kossaifi ... M. A. Nabian Maximilian Stadler Christian Hundt Kamyar Azizzadenesheli Anima Anandkumar AI4CE 103 150 0 01 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 305 11,894 0 18 Jul 2023
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere Boris Bonev Thorsten Kurth Christian Hundt Jaideep Pathak Maximilian Baust K. Kashinath Anima Anandkumar AI4Cl AI4CE 63 139 0 06 Jun 2023
A Unified Framework for U-Net Design and Analysis Christopher Williams Fabian Falck George Deligiannidis Chris Holmes Arnaud Doucet Saifuddin Syed SSeg AI4CE 96 37 0 31 May 2023
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models Seth Bassetti Brian Hutchinson Claudia Tebaldi Ben Kravitz DiffM 45 11 0 23 Apr 2023
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model Zipeng Xu E. Sangineto N. Sebe DiffM 65 13 0 16 Mar 2023
Learning stiff chemical kinetics using extended deep neural operators S. Goswami Ameya Dilip Jagtap H. Babaee Bryan T. Susi George Karniadakis AI4CE 142 40 0 23 Feb 2023
Robust Speech Recognition via Large-Scale Weak Supervision Alec Radford Jong Wook Kim Tao Xu Greg Brockman C. McLeavey Ilya Sutskever OffRL 194 3,684 0 06 Dec 2022
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators Thorsten Kurth Shashank Subramanian P. Harrington Jaideep Pathak Morteza Mardani D. Hall Andrea Miele K. Kashinath Anima Anandkumar AI4Cl 81 187 0 08 Aug 2022
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 64 75 0 25 Oct 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 109 2,251 0 24 Jun 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 415 4,953 0 24 Feb 2021
Self-Supervised Representation Learning for Astronomical Images Md. Abul Hayat G. Stein P. Harrington Z. Lukić Mustafa A. Mustafa SSL 55 45 0 24 Dec 2020
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction Seyone Chithrananda Gabriel Grand Bharath Ramsundar AI4CE 88 409 0 19 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 500 2,414 0 18 Oct 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 159 2,556 0 17 Jun 2020
On Second Order Behaviour in Augmented Neural ODEs Alexander Norcliffe Cristian Bodnar Ben Day Nikola Simidjievski Pietro Lio 70 94 0 12 Jun 2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 233 141 0 01 May 2020
Dissecting Neural ODEs Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama 96 203 0 19 Feb 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 248 2,131 0 08 Oct 2019
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry Rhys E. A. Goodall A. Lee 40 258 0 01 Oct 2019
Release Strategies and the Social Impacts of Language Models Irene Solaiman Miles Brundage Jack Clark Amanda Askell Ariel Herbert-Voss ... Miles McCain Alex Newhouse Jason Blazakis Kris McGuffie Jasmine Wang 80 629 0 24 Aug 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li Xiaoyong Jin Yao Xuan Xiyou Zhou Wenhu Chen Yu Wang Xifeng Yan AI4TS 107 1,420 0 29 Jun 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks N. Geneva N. Zabaras AI4CE 69 275 0 13 Jun 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 108 867 0 18 Jan 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 713 131,652 0 12 Jun 2017