Samuel E. Otto

According to our database, Samuel E. Otto authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories.

Samuel E. Otto, Sebastian Peitz, Clarence W. Rowley

SIAM J. Appl. Dyn. Syst., March, 2024

Operator learning without the adjoint.

Nicolas Boullé, Diana Halikias, Samuel E. Otto, Alex Townsend

CoRR, 2024

2023

Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance.

Samuel E. Otto, Alberto Padovan, Clarence W. Rowley

SIAM J. Sci. Comput., October, 2023

A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning.

Samuel E. Otto, Nicholas Zolman, J. Nathan Kutz, Steven L. Brunton

CoRR, 2023

Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders.

Samuel E. Otto, Gregory R. Macchio, Clarence W. Rowley

CoRR, 2023

2022

Optimizing Oblique Projections for Nonlinear Systems using Trajectories.

Samuel E. Otto, Alberto Padovan, Clarence W. Rowley

SIAM J. Sci. Comput., February, 2022

Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems: A New Approach Using Secants.

Samuel E. Otto, Clarence W. Rowley

J. Nonlinear Sci., 2022

2021

Koopman Operators for Estimation and Control of Dynamical Systems.

Samuel E. Otto, Clarence W. Rowley

Annu. Rev. Control. Robotics Auton. Syst., 2021

2020

Data-Driven Model Predictive Control using Interpolated Koopman Generators.

Sebastian Peitz, Samuel E. Otto, Clarence W. Rowley

SIAM J. Appl. Dyn. Syst., 2020

2019

Linearly Recurrent Autoencoder Networks for Learning Dynamics.

Samuel E. Otto, Clarence W. Rowley

SIAM J. Appl. Dyn. Syst., 2019

A Discrete Empirical Interpolation Method for Interpretable Immersion and Embedding of Nonlinear Manifolds.

Samuel E. Otto, Clarence W. Rowley

CoRR, 2019