Climate risk modelling, using a new parametrisation of multivariate generalised Pareto distribution

The Department of Probability and Statistics organised a workshop about the hot topic of Climate Risk in November, 2022. There were quite a few interesting

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A new artificial intelligence project at ELTE

Neural network – based approximation of Dirichlet-to-Neumann maps are shown, as part of our major project in machine learning.

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Lightweight diacritic restoration for V4 languages

Diacritics restoration became a ubiquitous task in the Latin-alphabet-based English-dominated Internet language environment. We showcase a small footprint 1D convolution-based solution, running in a web

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Estimation and simulation of fractional Ornstein-Uhlenbeck processes, using deep neural networks

There is now a great deal of interest in parameter estimation of Ornstein-Uhlenbeck processes in finance because of its modelling capability (see e.g. [1]). That

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Mathematics Expert in Data Analytics and Machine Learning

A new program has started for graduates at Eötvös Loránd University: This program is for those, who want to be among the winners of the

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The development of projects at Eötvös Loránd University, Budapest

What are the key issues in an MSc in applied maths? Of course the applications and the maths! But the order (and even more the

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