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2304.04664
Cited By
Inductive biases in deep learning models for weather prediction
6 April 2023
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
Nicole Ludwig
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
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Papers citing
"Inductive biases in deep learning models for weather prediction"
21 / 21 papers shown
Title
ACE: A fast, skillful learned global atmospheric model for climate prediction
Oliver Watt‐Meyer
Gideon Dresdner
Jeremy McGibbon
Spencer K. Clark
Brian Henn
...
K. Kashinath
Michael S. Pritchard
Boris Bonev
Matthew E. Peters
Christopher S. Bretherton
AI4Cl
42
40
0
03 Oct 2023
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
Matthias Karlbauer
Nathaniel Cresswell-Clay
Dale Durran
Raul A Moreno
Thorsten Kurth
Boris Bonev
Noah D. Brenowitz
Martin Volker Butz
MDE
15
17
0
11 Sep 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay
Bo Zhao
Hailey James
Rose Yu
DiffM
AI4TS
13
53
0
03 Jun 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
105
243
0
11 Jul 2022
Global Extreme Heat Forecasting Using Neural Weather Models
I. Lopez‐Gomez
A. McGovern
Shreya Agrawal
Jason Hickey
AI4Cl
19
34
0
23 May 2022
Can we integrate spatial verification methods into neural-network loss functions for atmospheric science?
Ryan Lagerquist
I. Ebert‐Uphoff
27
11
0
21 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Physics-based Deep Learning
Nils Thuerey
Philipp Holl
P. Holl
Patrick Schnell
Felix Trost
Kiwon Um
P. Schnell
F. Trost
PINN
AI4CE
48
89
0
11 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
163
1,095
0
27 Apr 2021
Generative modeling of spatio-temporal weather patterns with extreme event conditioning
Konstantin Klemmer
Sudipan Saha
M. Kahl
Tianlin Xu
Xiaoxiang Zhu
AI4CE
15
11
0
26 Apr 2021
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
220
510
0
11 Feb 2021
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
278
1,939
0
09 Feb 2021
CRPS Learning
Jonathan Berrisch
F. Ziel
34
25
0
01 Feb 2021
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
209
242
0
24 Mar 2020
Transformation-based Adversarial Video Prediction on Large-Scale Data
Pauline Luc
Aidan Clark
Sander Dieleman
Diego de Las Casas
Yotam Doron
Albin Cassirer
Karen Simonyan
VGen
212
86
0
09 Mar 2020
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
How Much Position Information Do Convolutional Neural Networks Encode?
Md. Amirul Islam
Sen Jia
Neil D. B. Bruce
SSL
189
305
0
22 Jan 2020
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,190
0
07 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,696
0
15 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
198
7,816
0
13 Jun 2015
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