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Data-driven modelling - Second Symposium on Machine Learning and Dynamical Systems
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Last Updated: September 18, 2026
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As experimental datasets grow larger and computational power continues to soar, a new generation of tools is reshaping how we ... This is an introductory video for my class on In this final lecture of the series, we explore the cutting-edge use of autoencoders to learn and analyze the A conserved quantity of a differential equation is a scalar function that remains constant along the This video highlights recent innovations in Abstract. Koopman operator theory has recently emerged as the main candidate for machine learning of In the previous lecture, we saw how time-delay coordinates combined with SVD can simplify the analysis of complex temporal ... This video provides a high-level overview of this new series on Thesis defense of Kunal Menda. Slides available at: web.stanford.edu/group/sisl/public/defense_menda.pdf. Closure problems are critical in predicting complex In the lectures that , we will explore the final chapter of my textbook, which focuses on autoencoder neural network ... Event: Second Symposium on Machine Learning and
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