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Variational Autoencoding Neural Operators

Variational Autoencoding Neural Operators

20 February 2023
Jacob H. Seidman
Georgios Kissas
George J. Pappas
P. Perdikaris
    DRL
    AI4CE
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Papers citing "Variational Autoencoding Neural Operators"

12 / 12 papers shown
Title
FUSE: Fast Unified Simulation and Estimation for PDEs
FUSE: Fast Unified Simulation and Estimation for PDEs
Levi E. Lingsch
Dana Grund
Siddhartha Mishra
Georgios Kissas
AI4CE
18
0
0
23 May 2024
Universal Functional Regression with Neural Operator Flows
Universal Functional Regression with Neural Operator Flows
Yaozhong Shi
Angela F. Gao
Zachary E. Ross
Kamyar Azizzadenesheli
31
3
0
03 Apr 2024
Neural Operators for Accelerating Scientific Simulations and Design
Neural Operators for Accelerating Scientific Simulations and Design
Kamyar Azzizadenesheli
Nikola B. Kovachki
Zong-Yi Li
Miguel Liu-Schiaffini
Jean Kossaifi
Anima Anandkumar
AI4CE
26
117
0
27 Sep 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe
Bastiaan S. Veeling
P. Perdikaris
Richard E. Turner
Johannes Brandstetter
DiffM
AI4CE
14
66
0
10 Aug 2023
Generative Adversarial Reduced Order Modelling
Generative Adversarial Reduced Order Modelling
Dario Coscia
N. Demo
G. Rozza
GAN
AI4CE
26
5
0
25 May 2023
LatentPINNs: Generative physics-informed neural networks via a latent
  representation learning
LatentPINNs: Generative physics-informed neural networks via a latent representation learning
M. H. Taufik
T. Alkhalifah
AI4CE
DiffM
21
4
0
11 May 2023
Random Weight Factorization Improves the Training of Continuous Neural
  Representations
Random Weight Factorization Improves the Training of Continuous Neural Representations
Sifan Wang
Hanwen Wang
Jacob H. Seidman
P. Perdikaris
13
9
0
03 Oct 2022
Attention Beats Concatenation for Conditioning Neural Fields
Attention Beats Concatenation for Conditioning Neural Fields
Daniel Rebain
Mark J. Matthews
K. M. Yi
Gopal Sharma
Dmitry Lagun
Andrea Tagliasacchi
AI4CE
14
22
0
21 Sep 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures
  meet Bayesian Deep Learning
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
Veit Wild
Robert Hu
Dino Sejdinovic
BDL
42
11
0
12 May 2022
Variational Gaussian Processes: A Functional Analysis View
Variational Gaussian Processes: A Functional Analysis View
Veit Wild
George Wynne
GP
34
5
0
25 Oct 2021
Improved architectures and training algorithms for deep operator
  networks
Improved architectures and training algorithms for deep operator networks
Sifan Wang
Hanwen Wang
P. Perdikaris
AI4CE
37
102
0
04 Oct 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
197
2,254
0
18 Oct 2020
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