The CCIMI blog

The Science of Security Screening Industrial seminar

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Optimal Transport for Machine Learning

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From the d’Alembert paradox to the 1984 Kato criteria via the 1941 1/3 Kolmogorov law and the 1949 Onsager conjecture.

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Machine learning and theorem proving

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Multiscale Analysis of Bayesian CART

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Deep learning as optimal control problems

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CCIMI Colloquium – The Statistical Finite Element Method

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Combined variational methods and empirical wavelets in segmentation of molecular images

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CENTRAL LIMIT THEOREMS AND THE GEOMETRY OF POLYNOMIALS

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Variational principle for lattice models with long-range interactions

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