ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.14350
  4. Cited By
Training neural mapping schemes for satellite altimetry with simulation
  data

Training neural mapping schemes for satellite altimetry with simulation data

19 September 2023
Q. Febvre
Julien Le Sommer
C. Ubelmann
Ronan Fablet
ArXivPDFHTML

Papers citing "Training neural mapping schemes for satellite altimetry with simulation data"

10 / 10 papers shown
Title
Fourier Neural Operator for Parametric Partial Differential Equations
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
429
2,355
0
18 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics
  Forecasting
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Yuan Yin
Vincent Le Guen
Jérémie Donà
Emmanuel de Bézenac
Ibrahim Ayed
Nicolas Thome
Patrick Gallinari
AI4CE
PINN
57
132
0
09 Oct 2020
Learning Variational Data Assimilation Models and Solvers
Learning Variational Data Assimilation Models and Solvers
Ronan Fablet
Bertrand Chapron
Lucas Drumetz
É. Mémin
O. Pannekoucke
F. Rousseau
51
68
0
25 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
529
41,106
0
28 May 2020
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Rui Wang
K. Kashinath
M. Mustafa
A. Albert
Rose Yu
PINN
AI4CE
36
361
0
20 Nov 2019
Hamiltonian Neural Networks
Hamiltonian Neural Networks
S. Greydanus
Misko Dzamba
J. Yosinski
PINN
AI4CE
74
876
0
04 Jun 2019
Learning to learn by gradient descent by gradient descent
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
90
2,000
0
14 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.5K
192,638
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.3K
76,547
0
18 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
261
4,159
0
26 Apr 2015
1