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Explore the mathematical connection between rough paths theory and streamed data analysis, bridging theoretical concepts with practical applications in machine learning and dynamical systems.
Explore deep learning approximation theory from a dynamical perspective, covering supervised learning, universal approximation, sequence modeling, and insights on various neural network architectures.
Explore deep learning techniques for analyzing nonlinear stability in dynamical systems, presented by Bogdan Epureanu from the University of Michigan.
Explore numerical differential equation solvers in JAX with Diffrax, covering implementation, features, and applications in machine learning and dynamical systems.
Explore dissipative deep neural dynamical systems and their applications in machine learning, presented by Jan Drgona from Pacific Northwest National Laboratory.
Explore advanced machine learning techniques for dynamical systems using Koopman operator theory, presented by Igor Mezic from UC Santa Barbara.
Explore advanced concepts in Riemannian geometry with Prof. Gigli, focusing on the Curvature Dimension condition and its applications in non-smooth settings.
Explore the intersection of machine learning and dynamical systems, focusing on transport phenomena in reservoir computing and its applications in data analysis and prediction.
Explore cutting-edge applications of machine learning in predicting terrestrial climate and weather patterns, presented by a leading expert from the University of Maryland.
Explore diverse perspectives on inflation with leading economists in this engaging round table discussion, examining causes, impacts, and potential policy responses.
Explore the intriguing concept of Hilbert spaces without the axiom of choice in this advanced mathematical seminar, delving into set theory and functional analysis.
Explore lattices in semisimple Lie groups, focusing on the congruence subgroup problem and boundedness properties in this advanced mathematics seminar by Alex Lubotzky.
Explore singular Riemannian foliations, their reduction, and techniques for detecting leaf space boundaries in this advanced geometry workshop presentation.
Explore the Riemannian Curvature Dimension condition with Professor Nicola Gigli, delving into advanced mathematical concepts for graduate-level understanding of non-smooth geometry.
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