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Graduate Seminar |
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Graduate Seminar |
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Seminar |
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Course |
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Course |
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artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop |
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artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop |
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artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop |
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Mar 28, 08:30 - Mar 30, 17:00, Research conference "Flow Simulation at the Exascale: Opportunities, challenges and its application in the industry" (KAUST Library), Matteo Parsani, David Keyes, Rasha Al Jahdali, Lisandro Dalcin, Bilel Hadri, Hong Im, Ravi Samtaney, Gabriel Wittum
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Conference |
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acoustic-elastic metamaterials, Graduate Seminar |
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Graduate Seminar |
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Equations, Lecture, Prandtl, Reversal, Stationary |
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Graduate Seminar |
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Graduate Seminar |
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Seminar |
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scientific computing, Workshop |
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Applied Partial Differential Equations, parallel simulations, Public Colloquium |
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Graduate Seminar |
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Mathematics and Applications Colloquium |
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Seminar |
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Seminar |
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Seminar |
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Public Colloquium, ReLU Neural Network, Sobolev Spaces |
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PhD Dissertation Defense |
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Graduate Seminar, Neuronal ensembles, neuroscience, Stochastiic Variability |
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Seminar |
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Graduate Seminar |
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Seminar |
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Course |
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applied statistics, Graduate Seminar |
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Bayesian Statistics, machine learning, PhD Dissertation Defense |
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Seminar |
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computational fluid dynamics, Graduate Seminar, CFD |
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Graduate Seminar |
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Graduate Seminar |
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PhD Dissertation Defense, spatio-temporal data analysis, statistics |
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computational efficiency, numerical integration, pitfalls, Public Colloquium, splitting methods |
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PhD Dissertation Defense, Relative Energy Analysis, relative energy method |
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Event |
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mean-field games, PhD Dissertation Defense |
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forecasting, Graduate Seminar, nonlinearity, solar energy, solar irradiance analysis, statistical analysis, TAR model |
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Graduate Seminar |
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Graduate Seminar |
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Graduate Seminar, SPDEs, statistics |
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climate data, Graduate Seminar, statistical models |
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Seminar |
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Workshop |
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machine learning, statistical learning, stochastic algorithms, Workshop |
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machine learning, statistical learning, stochastic algorithms, Workshop |
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machine learning, statistical learning, stochastic algorithm, Workshop |
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Markovian projection, Public Colloquium, sampling |
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Graduate Seminar |
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groups, Lecture, monstrous moonshine, symmetric polynomials, symmetry |
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Partial Differential Equations, Public Colloquium |
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Mar 6, 12:00 - 13:00, The Ball-Proximal (=“Broximal”) Point Method: a New Algorithm, Convergence Theory, and Applications (B9, L2, R2325), Kaja Gruntkowska, PhD student, Statistics, KAUST
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Graduate Seminar |
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PhD Dissertation Defense |
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Seminar |
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Graduate Seminar |
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continuous shapes, discrete models, geometric structures, mathematics, Screening |
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Graduate Seminar, quantum computing, quantum processing unit, supercomputers |
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Course |
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Course |
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Course |
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PhD Dissertation Defense |
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Course |
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Course |
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Course |
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Course |
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Course |
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Course |
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Course |
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Course |
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Course |
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Course |
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Course |
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Course |
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Course |
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Graduate Seminar |
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Course |
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Course |
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Course |
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Course |
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Seminar |
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manuscript, peer-review, Seminar |
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Graduate Seminar |
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Graduate Seminar, multivariate analysis |
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Graduate Seminar |
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computing, Graduate Seminar, Statistical Modeling |
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Graph Neural Networks, Seminar |
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Public Colloquium |
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Seminar |
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Seminar |
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Seminar |
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Graduate Seminar |
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Course |
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Course |
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Course |
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Course |
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Course |
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artificial materials, Seminar, topological phenomena |