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Assessments of epistemic uncertainty using Gaussian stochastic weight
  averaging for fluid-flow regression

Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression

16 September 2021
Masaki Morimoto
Kai Fukami
R. Maulik
Ricardo Vinuesa
K. Fukagata
    UQCV
ArXivPDFHTML

Papers citing "Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression"

10 / 10 papers shown
Title
Introducing Interval Neural Networks for Uncertainty-Aware System Identification
Introducing Interval Neural Networks for Uncertainty-Aware System Identification
Mehmet Ali Ferah
Tufan Kumbasar
19
0
0
26 Apr 2025
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Sunwoong Yang
Ricardo Vinuesa
Namwoo Kang
AI4CE
49
4
0
06 Jun 2024
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
Haiwen Guan
T. Arcomano
Ashesh Chattopadhyay
R. Maulik
AI4Cl
42
11
0
25 May 2024
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an
  OpenFOAM-Embedded Deep Learning Framework
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework
Jesus Gonzalez-Sieiro
David Pardo
Vincenzo Nava
V. M. Calo
Markus Towara
AI4CE
32
1
0
13 May 2024
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
Sunwoong Yang
Hojin Kim
Y. Hong
K. Yee
R. Maulik
Namwoo Kang
PINN
AI4CE
26
17
0
05 Jan 2024
Quantifying uncertainty for deep learning based forecasting and
  flow-reconstruction using neural architecture search ensembles
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
R. Maulik
Romain Egele
Krishnan Raghavan
Prasanna Balaprakash
UQCV
AI4TS
AI4CE
22
6
0
20 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
104
0
26 Jan 2023
Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal
  Forecastings of Saturations and Pressure in the SACROC Field
Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field
P. Panja
W. Jia
Alec Nelson
B. McPherson
26
0
0
15 Oct 2022
Global field reconstruction from sparse sensors with Voronoi
  tessellation-assisted deep learning
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Kai Fukami
R. Maulik
Nesar Ramachandra
K. Fukagata
Kunihiko Taira
47
143
0
03 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1