Data-Driven Methods for Reduced-Order Modeling and Stochastic Partial Differential Equations

Videos from BIRS Workshop

, University of Washington
- 09:57
Sparse sensing and dimensionality reduction in neuroscience
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, Institute for Disease Modeling
- 10:39
Adapting equation-free modeling techniques for modern infectious disease data
Watch video | Download video: 201701300959-Proctor.mp4 (147M)
, Florida State University
- 11:58
Randomized model order reduction
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, Microsoft
- 15:14
Modelling of 3D shape spaces from limited data
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, University of California, Merced
- 12:23
Density Tracking by Quadrature for SDE Inference
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, University of Washington
- 15:07
Data-Driven Discovery and Control of Nonlinear Dynamical Systems
Watch video | Download video: 201701311401-Brunton.mp4 (275M)
, Princeton
- 16:39
A Representation Theory Perspective on Simultaneous Alignment and Classification
Watch video | Download video: 201701311621-Lederman.mp4 (64M)
, University of Washington
- 17:01
Data-driven discovery of partial differential equations
Watch video | Download video: 201701311640-Rudy.mp4 (79M)
, Courant Institute
- 17:34
Kernel Analog Forecasting with Applications to Intra-seasonal Tropical Oscillations
Watch video | Download video: 201701311703-Alexander.mp4 (111M)
, Pacific Northwest Research Institute
- 18:06
Dynamic Mode Decomposition Reveals Low-Dimensional Structure and a Hierarchy of Timescales in C. elegans Neural Dynamics
Watch video | Download video: 201701311746-Kunert-Graf.mp4 (68M)
, University Paris 6
- 19:29
In pursuit of more reductions in RBM for convection type problems
Watch video | Download video: 201702011830-Maday.mp4 (206M)
, Sandia National Laboratories
- 19:57
Structure-preserving model reduction for nonlinear finite-volume models
Watch video | Download video: 201702011931-Carlberg.mp4 (80M)
, University of Michigan
- 20:30
Closure Modeling for Reduced Order Models of Multi-Scale Problems
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, Max Planck Institute
- 20:53
Parametric Model Order Reduction or Uncertainty Quantification?
Watch video | Download video: 201702012033-Grundel.mp4 (53M)
, Stanford University
- 10:08
Innovative Model Reduction Based Computational Technologies for Complex Engineering Problems: Progress, Results and Challenges
Watch video | Download video: 201702020906-Farhat.mp4 (219M)
, Massachusetts Institute of Technology
- 10:39
Data-driven modeling for control of systems with time-varying and uncertain parameters
Watch video | Download video: 201702021009-Kramer.mp4 (97M)
, Lawrence Berkeley National Laboratory
- 11:32
Efficient PDE-Constrained Optimization under Uncertainty using Adaptive Model Reduction and Sparse Grids
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, Florida State University
- 11:57
Network-based modeling and control of unsteady fluid flows
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, Virginia Polytechnic Institute
- 15:04
What to interpolate for optimal model reduction: Moving from linear to nonlinear dynamics
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, United Technologies Research Center
- 16:20
Koopman Meets Bellman: Another Route to Control Using Data-Driven Kooman Analysis
Watch video | Download video: 201702021600-Williams.mp4 (76M)
, University of Washington
- 16:41
Sparse cluster-based reduced order modeling
Watch video | Download video: 201702021621-Kaiser.mp4 (62M)
, University of Washington
- 17:03
An extension of the dynamic mode decomposition and applications
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, University of Washington
- 17:21
Data-driven Sparse Sensor Placement
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, NOAA
- 17:42
Opportunities for Improvement in the Twentieth Century Reanalysis
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, Aachen
- 10:11
Certified Reduced Basis Methods for Optimal Control and Data Assimilation
Watch video | Download video: 201702030902-Grepl.mp4 (200M)