On a Multigrid Method for Tempered Fractional Diffusion Equations by Linlin Bu, Cornelis W. Oosterlee

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The deep latent space particle filter for real-time data assimilation with uncertainty quantification by Nikolaj T. Mücke, Sander M. Bohté, Cornelis W. Oosterlee

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The Seven-League Scheme: Deep Learning for Large Time Step Monte Carlo Simulations of Stochastic Differential Equations by Shuaiqiang Liu, Lech A. Grzelak, Cornelis W. Oosterlee

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European and American Options Valuation by Unsupervised Learning with Artificial Neural Networks by Beatriz Salvador, Cornelis W. Oosterlee, Remco van der Meer

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Estimation of reinforced urn processes under left-truncation and right-censoring by Luis A. Souto Arias, Pasquale Cirillo, Cornelis W. Oosterlee

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Financial Option Valuation by Unsupervised Learning with Artificial Neural Networks by Beatriz Salvador, Cornelis W. Oosterlee, Remco van der Meer

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Machine Learning to Compute Implied Volatility from European/American Options Considering Dividend Yield by Shuaiqiang Liu, Álvaro Leitao, Anastasia Borovykh, Cornelis W. Oosterlee

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A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning by Nikolaj T. Mücke, Prerna Pandey, Shashi Jain, Sander M. Bohté, Cornelis W. Oosterlee

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Quantum Majorization in Market Crash Prediction by J Rhet Montana, Luis A. Souto Arias, Pasquale Cirillo, Cornelis W. Oosterlee

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