Event Content - (O)

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2 (1) | 5 (1) | A (61) | B (7) | C (18) | D (19) | E (38) | F (24) | G (9) | H (14) | I (13) | J (2) | K (2) | L (11) | M (58) | N (20) | O (28) | P (35) | Q (6) | R (18) | S (36) | T (47) | U (4) | V (2) | W (11)

	Feb 25, 12:00 - 13:00, On Adversarial Network Attacks, Robustness, and Certification (KAUST), Bernard Ghanem, Professor, Electrical and Computer Engineering	Graduate Seminar
	Mar 18, 12:00 - 13:00, On Discovering Nature’s Equations from Observations (KAUST), Jesper Tegner, Professor, BESE Division, KAUST	Graduate Seminar
	Mar 20, 12:00 - 13:00, On Fourier methods and machine learning techniques in Computational Finance. (B9 L3 R3128), Prof. Kees Oosterlee, Utrecht University	Graduate Seminar
	Nov 7, 12:00 - 13:00, On mean-field game price models (B9 L2 H1 R2322), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	linear-quadratic problem, mean-field games, modeling, optimal transport with constraints, price formation, supply and demand balance, Graduate Seminar
	Mar 20, 16:00 - 17:00, On Nonlocal Keller-Segel Type Equations (B1 L3 R3119), Dr. Suleyman Ulusoy, American University of Ras Al Khaimah, UAE	Applied Partial Differential Equations, Mathematical Biology, Seminar
	Apr 30, 12:00 - 13:00, On Optimal Regularization in Estimation, Detection, and Classification (KAUST), Tareq Al-Naffouri, Professor, Electrical and Computer Engineering	computational Complexity, Convex Gaussian Min-max theorem, linear systems, Graduate Seminar
	Nov 9, 15:00 - 16:00, On Recently Developed Non-Gaussian Priors and Sampling Methods with Application to Industrial Tomography (B1 L4 R4214), Prof. Lassi Roininen, Applied Mathematics, LUT University	Bayesian Inversion, machine learning, Non-Gaussian spatio-temporal processes, Seminar
	May 9, 16:00 - 17:00, On some nonlinear elliptic/parabolic systems arising in mechanics and turbulence (B2 L5 R5220), Prof. Luigi Carlo Berselli	linear elliptic, Mechanics, nonlinear, parabolic, Systems, Turbulence, Public Colloquium
	Oct 25, 15:30 - 17:00, On Some PDEs with singular data (B1 L3 R3119), Prof. Mohammed Kbiri Alaoui, King Khalid University	PDEs, singular data, Public Colloquium
	Jan 25, 12:00 - 13:00, On space-time models: models and applications (B9 L2 H2 H2), Elias Teixeira Krainski, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Apr 16, 14:00 - 15:00, On Strong Stability of Runge-Kutta Methods (B1 L4 R4214), Dr. Hendrik Ranocha, Technische Universitat Braunschweig	Hyperbolic PDEs, pdes and odes, TU Braunschweig, Seminar
	Oct 26, 14:00 - 15:00, On supercomputers and engineering applications: DNS, modeling, and GPUs (B2 L5 R5209), Mathis Bode, Researcher, Institute for Combustion Technology (ITV) at RWTH Aachen University	computational fluid dynamics, Navier-Stokes, supercomputers, Seminar
	Oct 29, 12:00 - 13:00, On the approximation of the spectrum of differential operators (KAUST), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Nov 27, 13:00 - 15:00, On the collapse mechanism of Wave Maps (B1 L4 R4214), Prof. Manoussos Grillakis, Departments of Mathematics, University of Maryland	Partial Differential Equations, Seminar
	Feb 6, 12:00 - 13:00, On the Mathematics of Turbulent flows (B9 L3 R3128), Luigi C. Berselli, Visiting Faculty, University of Pisa	Mathematical modeling, Turbulent, Graduate Seminar
	Jun 11, 16:00 - 17:00, On the Natural Gradient Descent (KAUST), Prof. Levon Nurbekyan	gradient methods, Public Colloquium
	May 19, 14:30 - 15:30, On the Precipice of a Global Transition Toward Electric Vehicles (B20 L2 R2011), Peter Rawlinson, the Chief Executive Officer and Chief Technology Officer of Lucid	Global Transition, Revolutionary technology, Toward Electric Vehicles, Presentation
	Mar 30, 12:00 - 13:00, On the rate of convergence of the Inviscid Limit for 2D Incompressible Fluid (B1 L4 R4102), Associate Professor Stefano Spirito, Department of Mathematics, University of LAquila, Italy	Seminar
	Sep 13, 15:30 - 17:00, On the resolution of a theoretical question related to the nature of local training in federated learning (B1 L3 R3119), Peter Richtarik, Professor, Computer Science	algorithms, communications, machine learning, mathematical optimization, Public Colloquium
	Dec 7, 15:30 - 17:00, On the role of pair correlations in the evolution of Bose-Einstein condensates (B1 L3 R3119), Prof. Manoussos Grillakis, Department of Mathematics, University of Maryland in College Park.	nonlinear Schr¨odinger equation, Public Colloquium
	Nov 21, 12:00 - 13:00, On training algorithms for neural networks (B9 L2 R2322 H1), Jinchao Xu, Professor, Applied Mathematics and Computational Sciences	Deep learning, deep neural networks, Graduate Seminar
	Nov 19, 12:00 - 13:00, On Unbiased Estimation of the Score Function for a Class of Partially Observed Diffusions (KAUST)	Graduate Seminar
	Nov 12, 15:00 - 16:00, Optimal Singular Value Thresholding in Correlated Noise (B19 Auditorium), Prof. David L. Donoho, Department of Statistics, Stanford University	Lecture
	Dec 6, 15:30 - 17:00, Optimal-complexity Multigrid Solvers for High-order FEM in the de Rham Complex (B1 L3 R3119), Prof. Patrick Farrell, University of Oxford	Public Colloquium
	Nov 12, 12:00 - 13:00, Optimization applied to energy systems, autonomous vehicles, and matching (KAUST), Ricardo Manuel Pinto de Lima, Research Scientist, Applied Mathematics and Computational Sciences	Graduate Seminar
	May 7, 16:00 - 17:00, Optimization for Deep Learning (B5 L5 R5209), Dr. Konstantin Mischenko, Samsung AI Center, Cambridge, UK	Deep learning, mathematical optimization, Public Colloquium
	Jul 30, 16:00 - 18:00, Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters (KAUST), Filip Hanzely, Ph.D., Applied Mathematics and Computational Sciences	PhD Dissertation Defense
	Jan 10, 14:00 - 15:00, Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning (KAUST), Arnulf Jentzen, Professor, Applied Mathematics Münster: Institute for Analysis and Numerics, University of Münster	Deep learning, monte carlo algorithms, nonlinear, Seminar