Fields- Fourth Symposium on Machine Learning and Dynamical Systems
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Title: Some older, and some current, thoughts on Data and the Modeling of Complex Systems
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Title: Data-driven reduced order models of forced systems using invariant foliations
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Title: Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach
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Title: On finite-dimensional approximations of push-forwards on locally analytic functionals
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Title: Identifying nonlinear dynamics with high confidence from sparse data
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Title: Combinatorial Topological Dynamics
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Title: Representation Learning for Dynamical Systems
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Title: Statistical Learning of Transfer Operators and the Infinitesimal Generator
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Title: On the Barriers of Robust Koopman Learning
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Title: Koopman-based generalization bound for neural networks
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Title: The Operator is the Model
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Title: Several topics at the intersection of control, dynamics, and learning from data
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Title: Linear Operator Theoretic Framework for Data-Driven Optimal Control
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Title: Learning, approximation and control
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Title: State estimation of complex systems
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Title: Training Autonomous Dynamics of a Soft Body: Embedding Bifurcation Structures using Physical Reservoir Computing
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Title: Predicting tipping point with reservoir computing
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Title: Controlling Chaos Using Edge Computing Hardware
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Title: Kernelization of Reservoir Systems
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Title: Understanding forecasting with reservoir computing via synchronization
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