Alec J. Linot

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Ordinary Differential Equations

Mathematical Modeling

Genetic Regulatory Networks

Dynamical Systems

Top Venues

J. Comput. Phys.

Publications

Alec J. Linot, Kevin Zeng, Michael D. Graham
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning. CoRR (2023)
C. Ricardo Constante-Amores, Alec J. Linot, Michael D. Graham
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches. CoRR (2023)
Carlos E. Pérez De Jesús, Alec J. Linot, Michael D. Graham
Building symmetries into data-driven manifold dynamics models for complex flows. CoRR (2023)
Alec J. Linot, Joshua W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik
Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems. J. Comput. Phys. 474 (2023)
Alec J. Linot, Michael D. Graham
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow. CoRR (2023)
Alec J. Linot, Joshua W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik
Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems. CoRR (2022)
Kevin Zeng, Alec J. Linot, Michael D. Graham
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning. CoRR (2022)
Alec J. Linot, Michael D. Graham
Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations. CoRR (2021)
Alec J. Linot, Michael D. Graham
Deep learning to discover and predict dynamics on an inertial manifold. CoRR (2020)