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Scientific Computing and Machine Learning
SCML
Scientific Computing and Machine Learning
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Event Content - (N)

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A (10) | B (1) | C (4) | D (5) | E (3) | F (2) | H (2) | I (1) | M (3) | N (5) | O (3) | P (1) | S (5) | T (1) | U (1) | V (1)
Apr 16, 16:00 - 17:00, Neural Operators: Theory, Architecture, and Applications for PDEs (B1 L3 R3119), Xinliang Liu, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
Multigrid, Neural Operator, Public Colloquium
Dec 5, 16:00 - 17:00, Nonlinear energy stability for phase-field models: Numerics and analysis (B5 L5 R5209), Prof. Tao Tang
phase-field models, Public Colloquium
Dec 4, 15:30 - 17:00, Nonlinear stability of splitting methods for Cahn-Hilliard equations (B3 L5 R5220), Prof. Tao Tang's personal website
Cahn-Hilliard equations, Course, nonlinear stability, splitting methods
KAUST-CEMSE-AMCS-Mathematics-and-Applications-Colloquium-Eduardo-Teixeira
May 13, 16:00 - 17:00, Nonlocal Degenerate PDEs: Bridging Free Boundary Problems and Critical-point Models (Building 1, Level 3, Room 3426), Eduardo Teixeira, Graduate Director & Professor, Department of Mathematics, University of Central Florida
local extrema models, Mathematics and Applications Colloquium, nonlocal degeneracies, regularity estimates
Apr 4, 16:00 - 17:00, Numerical Methods for Energy Minimisation: Application to Machine Learning Algorithms (B2 L5 R5220), Prof. Charalambos Makridakis, Director of the Institute of Applied and Computational Mathematics of FORTH, Greece
Applied Machine Learning, energy, minimization, numerical methods, Public Colloquium

Scientific Computing and Machine Learning (SCML)

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