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2305.00723
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Predictions Based on Pixel Data: Insights from PDEs and Finite Differences
1 May 2023
E. Celledoni
James Jackaman
Davide Murari
B. Owren
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Papers citing
"Predictions Based on Pixel Data: Insights from PDEs and Finite Differences"
39 / 39 papers shown
Title
Designing Stable Neural Networks using Convex Analysis and ODEs
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Davide Murari
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Carola-Bibiane Schönlieb
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Learning Hamiltonians of constrained mechanical systems
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A. Leone
Davide Murari
B. Owren
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116
18
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31 Jan 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
119
1,273
0
14 Jan 2022
Hamiltonian latent operators for content and motion disentanglement in image sequences
Asif Khan
Amos Storkey
56
2
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02 Dec 2021
A Dynamical System Perspective for Lipschitz Neural Networks
Laurent Meunier
Blaise Delattre
Alexandre Araujo
A. Allauzen
109
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25 Oct 2021
Locally-symplectic neural networks for learning volume-preserving dynamics
J. Bajārs
60
11
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19 Sep 2021
Primer: Searching for Efficient Transformers for Language Modeling
David R. So
Wojciech Mañke
Hanxiao Liu
Zihang Dai
Noam M. Shazeer
Quoc V. Le
VLM
264
156
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17 Sep 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof
E. Haber
Eran Treister
GNN
AI4CE
97
131
0
04 Aug 2021
Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
Antonio Alguacil andr Gonccalves Pinto
Wagner Gonçalves Pinto
Michaël Bauerheim
Marc C. Jacob
S. Moreau
AI4CE
78
19
0
21 Jun 2021
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
Yunbo Wang
Haixu Wu
Jianjin Zhang
Zhifeng Gao
Jianmin Wang
Philip S. Yu
Mingsheng Long
116
394
0
17 Mar 2021
Modern Koopman Theory for Dynamical Systems
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
118
420
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24 Feb 2021
Curriculum Learning: A Survey
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
N. Sebe
ODL
169
360
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25 Jan 2021
LagNetViP: A Lagrangian Neural Network for Video Prediction
Christine Allen-Blanchette
Sushant Veer
Anirudha Majumdar
Naomi Ehrich Leonard
87
31
0
24 Oct 2020
A generative adversarial network approach to (ensemble) weather prediction
Alexander Bihlo
AI4Cl
55
80
0
13 Jun 2020
Structure preserving deep learning
E. Celledoni
Matthias Joachim Ehrhardt
Christian Etmann
R. McLachlan
B. Owren
Carola-Bibiane Schönlieb
Ferdia Sherry
AI4CE
104
44
0
05 Jun 2020
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
889
42,463
0
28 May 2020
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
97
256
0
10 Apr 2020
Comparing recurrent and convolutional neural networks for predicting wave propagation
Stathi Fotiadis
E. Pignatelli
Mario Lino Valencia
C. Cantwell
Amos Storkey
Anil A. Bharath
66
37
0
20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang
Robin Walters
Rose Yu
AI4CE
130
177
0
08 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks
B. Smets
J. Portegies
Erik J. Bekkers
R. Duits
AI4CE
91
54
0
24 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
556
42,639
0
03 Dec 2019
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
Rui Wang
K. Kashinath
M. Mustafa
A. Albert
Rose Yu
PINN
AI4CE
60
371
0
20 Nov 2019
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
209
225
0
29 Sep 2019
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data
Hao Xu
Haibin Chang
Dongxiao Zhang
AI4CE
57
70
0
13 Aug 2019
Hamiltonian Neural Networks
S. Greydanus
Misko Dzamba
J. Yosinski
PINN
AI4CE
130
899
0
04 Jun 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network
Zichao Long
Yiping Lu
Bin Dong
AI4CE
83
553
0
30 Nov 2018
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
166
1,884
0
01 Aug 2018
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
448
5,168
0
19 Jun 2018
Multi-Step Prediction of Dynamic Systems with Recurrent Neural Networks
Nima Mohajerin
Steven L. Waslander
AI4CE
86
91
0
20 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Henry Gouk
E. Frank
Bernhard Pfahringer
M. Cree
172
481
0
12 Apr 2018
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
E. Haber
AI4CE
137
492
0
12 Apr 2018
Stable Architectures for Deep Neural Networks
E. Haber
Lars Ruthotto
154
735
0
09 May 2017
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
227
9,564
0
31 Mar 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
82
349
0
23 Jan 2017
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with
ℓ
1
\ell^1
ℓ
1
and
ℓ
0
\ell^0
ℓ
0
Controls
Jason M. Klusowski
Andrew R. Barron
279
143
0
26 Jul 2016
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
176
1,946
0
24 Feb 2016
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
130
1,882
0
17 Nov 2015
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
233
2,540
0
03 Jun 2015
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
289
14,968
1
21 Dec 2013
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