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Abstract: Complex dynamical systems like molecular systems or stochastic climate models often involve a variety of different time and length scales. We propose a strategy for coarse graining of such…
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English Date Created
March 9th, 2022
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Abstract: The Hamiltonian Monte Carlo and Langevin processes are kinetic (position/velocity) Markov processes used to sampled target distributions in MCMC methods. In fact, once discretized in time,…
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English Date Created
March 2nd, 2022
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Abstract: Optimisation problems with discrete and continuous data appear in statistical estimation, machine learning, functional data science, robust optimal control, and variational inference. The…
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English Date Created
February 9th, 2022
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Abstract: In the first part of this talk, I will showcase how persistent homology can be used to spatially characterise structural abnormality in tumour blood vessel networks. More specifically, I…
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English Date Created
February 2nd, 2022
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Abstract: In inverse optimal transport (IOT) one wishes to identify unknown cost criteria from noisy or partial observations of optimal matchings. Consider for example commodity data; assuming that…
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English Date Created
January 26th, 2022
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