Samuel E. Otto

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning.
J. Mach. Learn. Res.
Samuel E. Otto, Nicholas Zolman, J. Nathan Kutz, Steven L. Brunton
2024 J jnl
Learning Bilinear Models of Actuated Koopman Generators from Partially Observed Trajectories.
SIAM J. Appl. Dyn. Syst.
Samuel E. Otto, Sebastian Peitz, Clarence W. Rowley
2024 J jnl
Operator learning without the adjoint.
CoRR
Nicolas Boullé, Diana Halikias, Samuel E. Otto, Alex Townsend
2024 J jnl
Operator learning without the adjoint.
J. Mach. Learn. Res.
Nicolas Boullé, Diana Halikias, Samuel E. Otto, Alex Townsend
2023 J jnl
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning.
CoRR
Samuel E. Otto, Nicholas Zolman, J. Nathan Kutz, Steven L. Brunton
2023 J jnl
Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders.
CoRR
Samuel E. Otto, Gregory R. Macchio, Clarence W. Rowley
2023 J jnl
Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance.
SIAM J. Sci. Comput.
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
2022 J jnl
Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems: A New Approach Using Secants.
J. Nonlinear Sci.
Samuel E. Otto, Clarence W. Rowley
2022 J jnl
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories.
CoRR
Samuel E. Otto, Sebastian Peitz, Clarence W. Rowley
2022 J jnl
Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance.
CoRR
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
2022 J jnl
Optimizing Oblique Projections for Nonlinear Systems using Trajectories.
SIAM J. Sci. Comput.
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
2021 J jnl
Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems; a New Approach Using Secants.
CoRR
Samuel E. Otto, Clarence W. Rowley
2021 J jnl
Koopman Operators for Estimation and Control of Dynamical Systems.
Annu. Rev. Control. Robotics Auton. Syst.
Samuel E. Otto, Clarence W. Rowley
2020 J jnl
Data-Driven Model Predictive Control using Interpolated Koopman Generators.
SIAM J. Appl. Dyn. Syst.
Sebastian Peitz, Samuel E. Otto, Clarence W. Rowley
2019 J jnl
A Discrete Empirical Interpolation Method for Interpretable Immersion and Embedding of Nonlinear Manifolds.
CoRR
Samuel E. Otto, Clarence W. Rowley
2019 J jnl
Linearly Recurrent Autoencoder Networks for Learning Dynamics.
SIAM J. Appl. Dyn. Syst.
Samuel E. Otto, Clarence W. Rowley
2017 J jnl
Linearly-Recurrent Autoencoder Networks for Learning Dynamics.
CoRR
Samuel E. Otto, Clarence W. Rowley