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Adversarial sampling of unknown and high-dimensional conditional
  distributions

Adversarial sampling of unknown and high-dimensional conditional distributions

8 November 2021
M. Hassanaly
Andrew Glaws
Karen Stengel
Ryan N. King
    GAN
ArXivPDFHTML

Papers citing "Adversarial sampling of unknown and high-dimensional conditional distributions"

13 / 13 papers shown
Title
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
Nguyen H K. Do
Truc Nguyen
Malik Hassanaly
Raed Alharbi
Jung Taek Seo
My T. Thai
49
0
0
09 Mar 2025
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Shivam Barwey
Pinaki Pal
Saumil Patel
Riccardo Balin
Bethany Lusch
V. Vishwanath
R. Maulik
R. Balakrishnan
AI4CE
99
0
0
12 Sep 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure
  Models using Bayesian Neural Networks
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks
Graham Pash
M. Hassanaly
S. Yellapantula
AI4CE
37
0
0
28 Feb 2024
PINN surrogate of Li-ion battery models for parameter inference. Part
  II: Regularization and application of the pseudo-2D model
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
25
6
0
28 Dec 2023
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of
  Reacting Flows
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows
Shivam Barwey
V. Raman
16
2
0
02 May 2023
Ensemble flow reconstruction in the atmospheric boundary layer from
  spatially limited measurements through latent diffusion models
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models
A. Rybchuk
M. Hassanaly
N. Hamilton
P. Doubrawa
Mitchell J. Fulton
L. Martínez‐Tossas
AI4CE
DiffM
25
16
0
01 Mar 2023
Multiscale Graph Neural Network Autoencoders for Interpretable
  Scientific Machine Learning
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning
Shivam Barwey
Varun Shankar
V. Viswanathan
R. Maulik
AI4CE
25
21
0
13 Feb 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Kai Fukami
K. Fukagata
Kunihiko Taira
AI4CE
14
103
0
26 Jan 2023
Statistical treatment of convolutional neural network super-resolution
  of inland surface wind for subgrid-scale variability quantification
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification
Daniel J. Getter
J. Bessac
J. Rudi
Yan Feng
11
0
0
30 Nov 2022
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
M. Hassanaly
Bruce A. Perry
M. Mueller
S. Yellapantula
32
5
0
28 Dec 2021
GANISP: a GAN-assisted Importance SPlitting Probability Estimator
GANISP: a GAN-assisted Importance SPlitting Probability Estimator
M. Hassanaly
Andrew Glaws
Ryan N. King
25
1
0
28 Dec 2021
Conditional Sampling with Monotone GANs: from Generative Models to
  Likelihood-Free Inference
Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef Marzouk
OT
GAN
30
24
0
11 Jun 2020
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,447
0
21 Nov 2016
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