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    Introduction to Physics-Informed Neural Networks: Methods, Tools, and Trends

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    Sciences, ça tourne : Christophe Ley et Guenda Palmirotta sur statistiques appliquées et satellites

    La conférence fait partie d’une série de six conférences dans le cadre du project « Sciences, ça tourne » organisé par UNIVERSEH en collaboration avec l’Institut français de Luxembourg, le Lycée Vauban et sous le haut patronage de l’Ambassade de France au Luxembourg.

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    Machine Learning Seminar meeting: Deep Learning Technologies for Natural Language Understanding

    These days it would not be an exaggeration to say that we live in a world where AI applications are taking over. What is sure that they are impressing the public more and more. Couple years ago, GANs impressed people for creating images which do not exist in reality. The culmination was Dalle2 project which…

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    Physics Colloquium

    Self-propelled particles

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    PhD Defense: Spaceborne GNSS Reflectometry for Land Applications

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    PhD Defense: The use of Linked Data and Information Models for the End-of-Life Cycle of Built Assets

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    PhD Defense: Assessment of mechanism of brain metastasis formation

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    PhD Defense: Digital health to enhance adjuvant endocrine therapy adherence in breast cancer

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    PhD Defense: Estimating terrestrial water storage variations from GNSS vertical displacements in the Island of Haiti

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    Learning quantum fuzzy orbits from coherent data

    In this talk, the speaker will discuss a data-driven strategy parallel to quantum tomography. Thus, offering an alternative approach to the study of quantum dynamics directed at quantum computing, condensed matter, among other applications. Starting with time series data, possibly noisy, and a class of universal differential equations parameterised by feed-forward neural networks, the dynamical…

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