Related references
Note: Only part of the references are listed.Predictions of turbulent shear flows using deep neural networks
P. A. Srinivasan et al.
PHYSICAL REVIEW FLUIDS (2019)
Reconciling modern machine-learning practice and the classical bias-variance trade-off
Mikhail Belkin et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Robust flow reconstruction from limited measurements via sparse representation
Jared Callaham et al.
PHYSICAL REVIEW FLUIDS (2019)
Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization
Thomas Bolton et al.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2019)
Randomized Dynamic Mode Decomposition
N. Benjamin Erichson et al.
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS (2019)
Data-Driven Sparse Sensor Placement for Reconstruction DEMONSTRATING THE BENEFITS OF EXPLOITING KNOWN PATTERNS
Krithika Manohar et al.
IEEE CONTROL SYSTEMS MAGAZINE (2018)
Hidden physics models: Machine learning of nonlinear partial differential equations
Maziar Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2018)
Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
Pantelis R. Vlachas et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2018)
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
Jong Chul Ye et al.
SIAM JOURNAL ON IMAGING SCIENCES (2018)
Observable Dictionary Learning for High-Dimensional Statistical Inference
Lionel Mathelin et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2018)
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Solving ill-posed inverse problems using iterative deep neural networks
Jonas Adler et al.
INVERSE PROBLEMS (2017)
Estimating the intrinsic dimension of datasets by a minimal neighborhood information
Elena Facco et al.
SCIENTIFIC REPORTS (2017)
RandNLA: Randomized Numerical Linear Algebra
Petros Drineas et al.
COMMUNICATIONS OF THE ACM (2016)
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Julia Ling et al.
JOURNAL OF FLUID MECHANICS (2016)
A NEW SELECTION OPERATOR FOR THE DISCRETE EMPIRICAL INTERPOLATION METHOD-IMPROVED A PRIORI ERROR BOUND AND EXTENSIONS
Zlatko Drmac et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2016)
Accurate Estimation of the Intrinsic Dimension Using Graph Distances: Unraveling the Geometric Complexity of Datasets
Daniele Granata et al.
SCIENTIFIC REPORTS (2016)
Closed-Loop Turbulence Control: Progress and Challenges
Steven L. Brunton et al.
APPLIED MECHANICS REVIEWS (2015)
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
Peter Benner et al.
SIAM REVIEW (2015)
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
N. Halko et al.
SIAM REVIEW (2011)
Image Super-Resolution Via Sparse Representation
Jianchao Yang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)
NONLINEAR MODEL REDUCTION VIA DISCRETE EMPIRICAL INTERPOLATION
Saifon Chaturantabut et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2010)
A fast immersed boundary method using a nullspace approach and multi-domain far-field boundary conditions
Tim Colonius et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2008)
A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence
Yi Li et al.
JOURNAL OF TURBULENCE (2008)
The immersed boundary method: A projection approach
Kunihiko Taira et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2007)
Compressive sensing
Richard G. Baraniuk
IEEE SIGNAL PROCESSING MAGAZINE (2007)
An application of Gappy POD - For subsonic cavity flow PIV data
Nathan E. Murray et al.
EXPERIMENTS IN FLUIDS (2007)
A reconstruction method for the flow past an open cavity
B Podvin et al.
JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME (2006)
Compressed sensing
DL Donoho
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information
EJ Candès et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2006)
Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition
K Willcox
COMPUTERS & FLUIDS (2006)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
Aerodynamic data reconstruction and inverse design using proper orthogonal decomposition
T Bui-Thanh et al.
AIAA JOURNAL (2004)
An 'empirical interpolation' method: application to efficient reduced-basis discretization of partial differential equations
M Barrault et al.
COMPTES RENDUS MATHEMATIQUE (2004)
A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
BR Noack et al.
JOURNAL OF FLUID MECHANICS (2003)
Example-based super-resolution
WT Freeman et al.
IEEE COMPUTER GRAPHICS AND APPLICATIONS (2002)