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Eleni Koronaki: From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics

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Vivek OOmmen: The effectiveness of PINNs in solving inverse heat transfer problems
Anina Šarkić: Machine Learning in Wind Engineering
Diego Kozlowski: Machine Learning on graphs
Tittu Mathew: Bayesian uncertainty quantification and model selection
Arnaud Mazier: Decision Trees methods, an overview of the white-boxes

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Eleni Koronaki: From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics
Vivek OOmmen: The effectiveness of PINNs in solving inverse heat transfer problems
Anina Šarkić: Machine Learning in Wind Engineering
Diego Kozlowski: Machine Learning on graphs
Tittu Mathew: Bayesian uncertainty quantification and model selection

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