Koopman autoencoders with forcings and temporal unrolling deliver accurate year-long predictions for coastal-ocean models at 300-1400x speedup, outperforming POD in two of three cases.
and Brunton, Steven L
4 Pith papers cite this work, alongside 22 external citations. Polarity classification is still indexing.
4
Pith papers citing it
22
external citations · OpenAlex
years
2026 4verdicts
UNVERDICTED 4representative citing papers
An equation-free Koopman-surrogate method closes open trajectories into cyclic animations via Fourier-parameterized control forces cast as a linearly constrained quadratic program.
Koopman autoencoders with attention-free latent memory and online change-point re-encoding reduce long-horizon error on Duffing, Repressilator, and IRMA benchmarks while keeping low latency.
A behavioral data-driven framework based on Willems' lemma generates optimal open-loop slewing trajectories for rotary cranes that suppress load sway using limited input-output data and convex optimization.
citing papers explorer
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Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models
Koopman autoencoders with forcings and temporal unrolling deliver accurate year-long predictions for coastal-ocean models at 300-1400x speedup, outperforming POD in two of three cases.
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Closing Trajectories: Equation-Free Cyclic Animation via Koopman Surrogates
An equation-free Koopman-surrogate method closes open trajectories into cyclic animations via Fourier-parameterized control forces cast as a linearly constrained quadratic program.
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Learning the Koopman Operator using Attention Free Transformers
Koopman autoencoders with attention-free latent memory and online change-point re-encoding reduce long-horizon error on Duffing, Repressilator, and IRMA benchmarks while keeping low latency.
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Behavioral Data-Driven Optimal Trajectory Generation for Rotary Cranes
A behavioral data-driven framework based on Willems' lemma generates optimal open-loop slewing trajectories for rotary cranes that suppress load sway using limited input-output data and convex optimization.