Fields- Third Symposium on Machine Learning and Dynamical Systems
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Title: Machine Learning and Dynamical Systems Meet in Reproducing Kernel Hilbert Spaces
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Title: Nonparametric Learning of Interaction Kernels in Interacting Particle Systems
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Title: Compositional Features and Neural Network Complexity for Dynamical Systems
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Title: From Rough Paths to Streamed Data
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Title: Some Time, Some Space, and Some Equations: Machine Learning of Model Error in Dynamical Systems
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Title: Learning Dynamical Systems
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Title: Multiscale Perturbed Gradient Descent: Chaotic Regularization and Heavy-Tailed Limits
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Title: Creation & Annihilation of Spurious Minima in Shallow Neural Networks
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Title: A Stochastic Variant of Replicator Dynamics in Zero-Sum Games and Its Invariant Measures
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Title: Momentum Stiefel Optimizer, with Applications to Orthogonal Attention, and Optimal Transport
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Title: A Proximal Method for Sampling
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Title: r-Adaptivity, Deep Learning and the Deep Ritz Method
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Title: Approximation Theory of Deep Learning from the Dynamical Viewpoint
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Title: Predicting the Impact of Treatment over Time with Uncertainty Aware Neural Differential Equations
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Title: Active Learning in Efficient Estimate for Basin Stability of Dynamic Networks
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Title: Deep Learning for Nonlinear Stability Analysis in Dynamical Systems
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Title: Dissipative Deep Neural Dynamical Systems
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Title: Diffrax: Numerical Differential Equation Solvers in JAX
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Title: Optimal Transport for Learning Chaotic Dynamics via Invariant Measures
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Title: A Coarse-Graining Approach to Mapping Cortical Parameter Space
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