The CCIMI blog

A variational approach to nonlinear and interacting diffusions

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Large deviations for the maximum of a branching random walk

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Explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems

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Improving the Flexibility and Robustness of Derivative-Free Optimization Solvers

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Bayesian inversion for tomography through machine learning

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Entropy decay and concentration for Strong Rayleigh measures via couplings

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Texture analysis and Machine Learning for the Prediction of Cardiovascular Events

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Analysis of Networks via the Sparse β-Model

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Clustering of Big Data

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Equilibria configurations for epitaxial crystal growth with adatoms

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