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Physical Modeling using Recurrent Neural Networks with Fast
  Convolutional Layers

Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers

21 April 2022
Julian Parker
Sebastian J. Schlecht
R. Rabenstein
Maximilian Schäfer
    AI4CE
ArXivPDFHTML

Papers citing "Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers"

5 / 5 papers shown
Title
Neural Operator: Learning Maps Between Function Spaces
Neural Operator: Learning Maps Between Function Spaces
Nikola B. Kovachki
Zong-Yi Li
Burigede Liu
Kamyar Azizzadenesheli
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
99
446
0
19 Aug 2021
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
457
2,384
0
18 Oct 2020
wav2shape: Hearing the Shape of a Drum Machine
wav2shape: Hearing the Shape of a Drum Machine
Han Han
Vincent Lostanlen
39
8
0
20 Jul 2020
Deep Learning for Tube Amplifier Emulation
Deep Learning for Tube Amplifier Emulation
Eero-Pekka Damskägg
Lauri Juvela
Etienne Thuillier
Vesa Valimaki
33
60
0
01 Nov 2018
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
217
6,772
0
03 Sep 2014
1