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  1. Forecasting Sequential Data Using Consistent Koopman Autoencoders

    In this work, we propose a novel Consistent Koopman Autoencoder model which, unlike the majority of existing work, leverages the forward and backward dynamics. Key to our approach …

  2. GitHub - erichson/koopmanAE: Consistent Koopman Autoencoders

    Research code that demonstrates consistent Koopman autoencoders on the nonlinear pendulum with no friction. Here is an example:

  3. Forecasting Sequential Data using Consistent Koopman Autoencoders

    Mar 4, 2020 · In this work, we propose a novel Consistent Koopman Autoencoder model which, unlike the majority of existing work, leverages the forward and backward dynamics. Key to our …

  4. In this work, we propose a novel Consistent Koopman Autoencoder model which, unlike the majority of existing work, leverages the forward and backward dynamics. Key to our approach …

  5. In our evaluation, we employ an autoencoding architecture where the encoder and decoder are shallow and contain only three layers each. Using a simple design allows us to focus our …

  6. Temporally-Consistent Koopman Autoencoders for Forecasting

    Mar 19, 2024 · To address this, we introduce the Temporally-Consistent Koopman Autoencoder (tcKAE), designed to generate accurate long-term predictions even with limited and noisy …

  7. Forecasting sequential data using consistent Koopman autoencoders ...

    Jul 13, 2020 · In this work, we propose a novel Consistent Koopman Autoencoder model which, unlike the majority of existing work, leverages the forward and backward dynamics. Key to our …

  8. In this work, we propose a novel Consistent Koopman Autoencoder model which, unlike the majority of existing work, leverages the forward and backward dynamics. Key to our approach …

  9. Forecasting Sequential Data using Consistent Koopman Autoencoders

    Mar 4, 2020 · In this work, we propose a novel Consistent Koopman Autoencoder model which, unlike the majority of existing work, leverages the forward and backward dynamics. Key to our …

  10. Prediction-Consistent Koopman Autoencoders - OpenReview

    Sep 21, 2023 · In this paper we propose the prediction-consistent Koopman autoencoder (pcKAE) which is capable of generating accurate long-term predictions even with limited and noisy …

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