The conditional particle filter - scalable MCMC for dynamic models
Prof. Matti Vihola, Professor of Statistics, University of Jyväskylä, Finland
-
KAUST
Seminar
Mar 6 - Mar 12, 2022
Feb 13 - Feb 19, 2022
Intermediate Distributions and Complexity Bounds for SMC
Prof. Anthony Lee, School of Mathematics, University of Bristol
-
KAUST
Feb 6 - Feb 12, 2022
Phase Separation in Heterogeneous Media
Irene Fonseca, Center for Nonlinear Analysis, Carnegie Mellon University
-
KAUST
Jan 30 - Feb 5, 2022
Exoplanet Imaging Coronagraphic Mask Development and Testing: A North American Perspective
Benjamin L. Gerard, Postdoctoral Scholar, University of California, UC Observatories
-
KAUST
Elliptic PDEs: Regularity under minimal assumptions - Part 3
Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy
-
B1 L4 R4102
Elliptic PDEs: Regularity under minimal assumptions - Part 2
Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy
-
B1 L4 R4214
Jan 23 - Jan 29, 2022
Designing a Stable Periodic Orbit for a Triple Pendulum on a Cart
Prof. Johann Reger, Automation and Systems Engineering, Technische Universität Ilmenau
-
B1 L4 R4214
Elliptic PDEs: Regularity under minimal assumptions - Part 1
Prof. Giuseppe Di Fazio, Department of Mathematics, University Of Catania, Italy
-
B1 L4 R4102
Nov 21 - Nov 27, 2021
Is probability theory the only viable solution to modelling statistical information?
Prof. Jeremie Houssineau, Department of Statistics, University of Warwick.
-
KAUST
Nov 7 - Nov 13, 2021
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference In Diffusion Models
Prof. Alexandros Beskos, the Dept of Statistical Science, University College London (UCL)
-
KAUST
On Recently Developed Non-Gaussian Priors and Sampling Methods with Application to Industrial Tomography
Prof. Lassi Roininen, Applied Mathematics, LUT University
-
B1 L4 R4214
Oct 31 - Nov 6, 2021
Particle Approximations For Partially Observed Fluid Dynamics Models
Professor Dan Crisan, Mathematics, Imperial College London
-
KAUST
High order schemes for hyperbolic balance laws - Topic 3
Giovanni Russo, Full Professor, Mathematics and Computer Science, University of Catania, Italy
-
B1 L4 R4102
Oct 24 - Oct 30, 2021
High order schemes for hyperbolic balance laws - Topic 2
Giovanni Russo,Full Professor,Mathematics and Computer Science, University of Catania, Italy
-
B1 L4 R4102
High order schemes for hyperbolic balance laws - Topic 1
Giovanni Russo, Professor, Mathematics and Computer Science, University of Catania, Italy
-
B1 L4 R4102
On supercomputers and engineering applications: DNS, modeling, and GPUs
Mathis Bode, Researcher, Institute for Combustion Technology (ITV) at RWTH Aachen University
-
B2 L5 R5209
Regularity for singular and degenerate pdes: qualitative vs. sharp estimates
José Miguel Urbano, Professor of Mathematics at the University of Coimbra, Portugal
-
B9 L2 H2
Oct 10 - Oct 16, 2021
Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
Nikolas Kantas, Associate Professor, Department of Mathematics, Imperial College London
-
KAUST
Theory and Application of Neural Networks III
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
-
B9 L2 R2322
Theory and Application of Neural Networks II
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
-
B4 B5 A0215
Theory and Application of Neural Networks I
Jinchao Xu, Affiliate Professor of Information Sciences and Technology, Penn State University
-
B4 B5 A0215
Sep 26 - Oct 2, 2021
Randomized multilevel Monte Carlo for inference
Kody J.H. Law, Professor, Applied Mathematics in the Department of Mathematics, University of Manchester and Manchester Institut
-
KAUST
Sep 5 - Sep 11, 2021
Finite element approximation of fluid-structure interactions: a fictitious domain approach
Lucia Gastaldi, Professor, Numerical Analysis at the University of Brescia, Italy
-
B1 L4 R4102
Aug 29 - Sep 4, 2021
Sequential Monte Carlo Algorithms for Agent-Based Models of Disease Transmission
Jeremy Heng, Applied Mathematics and Computational Sciences (AMCS), ESSEC Business School, Singapore
-
KAUST
Aug 15 - Aug 21, 2021
Machine Learning in Healthcare: When Low Sample Size is not a Limitation
Dr. Ricardo Henao, Biostatistics and Bioinformatics, Duke University
-
KAUST
Mar 21 - Mar 27, 2021
Minimal-time Mean Field Games
Samer Dweik, Postdoctoral Fellow, University of British Columbia
-
KAUST
Mar 14 - Mar 20, 2021
Mathematical Modeling and Analysis of Emergent Phenomena
Jan Haskovec, Research Scientist, AMCS, KAUST
-
KAUST
Mar 7 - Mar 13, 2021
Analysis of the compressible two-phase flow
Dr. Ewelina Zatorska, Senior Lecturer in the Applied and Numerical Analysis, Imperial College London
-
KAUST
Feb 14 - Feb 20, 2021
Recent developments for stochastic processes and their applications
Ahmed Kebaier, Associate Professor, Laboratory Analysis, Geometry and Application (LAGA), University Sorbonne Paris Nord (USPN)
-
KAUST
Feb 7 - Feb 13, 2021
High Order Numerical Methods for Acoustic and Elastic Scattering
Prof. Vianey Villamizar, Department of Mathematics, Brigham Young University, USA
-
KAUST
Jan 31 - Feb 6, 2021
Monte Carlo based Inference for State-space Models
Sumeetpal Singh, Reader, Engineering Statistics, Department of Engineering, University of Cambridge
-
KAUST
Jan 10 - Jan 16, 2021
Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning
Arnulf Jentzen, Professor, Applied Mathematics Münster: Institute for Analysis and Numerics, University of Münster
-
KAUST
Jan 3 - Jan 9, 2021
Mean Field Games: Numerical Methods and Applications
Mathieu Laurière, Postdoc, Department of Operations Research and Financial Engineering, Princeton University
-
KAUST
Sep 27 - Oct 3, 2020
Nonlinear and dispersive waves: Theory, computations and applications
Dr. Dimitrios Mitsotakis, Senior Lecturer, Victoria University of Wellington
-
KAUST
Feb 23 - Feb 29, 2020
Feb 16 - Feb 22, 2020
Feb 9 - Feb 15, 2020
Feb 2 - Feb 8, 2020
A regularized shallow-water waves system with slip-wall boundary conditions: Theory and numerical analysis
Dimitrios Mitsotakis, Senior Lecturer, School of Mathematics and Statistic Victoria University of Wellington, New Zealand
-
B1 L4 R4214
Jan 26 - Feb 1, 2020
Dynamics and Convergence of Weight Normalization for Training Neural Networks
Guido Montufar, Assistant Professor, Departments of Mathematics and Statistics, University of California, Los Angeles (UCLA)
-
B1 L3 R3119
Jan 19 - Jan 25, 2020
A very short introduction to regularity theory for linear elliptic equations - Part 4
Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal
-
B1 L3 R3119
A very short introduction to regularity theory for linear elliptic equations - Part 3
Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal
-
B1 L3 R3119
Jan 12 - Jan 18, 2020
A very short introduction to regularity theory for linear elliptic equations - Part 2
Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal
-
B1 L2 R2202
A very short introduction to regularity theory for linear elliptic equations - Part 1
Professor Jose Urbano, Department of Mathematics at University of Coimbra, Portugal
-
B1 L3 R3119
Well-posedness and stability results for laminated Timoshenko beams with interfacial slip and infinite memory
Prof. Aissa Guesmia, University of Lorraine, Metz, France
-
B1 L4 R4214
Nov 3 - Nov 9, 2019
Oct 20 - Oct 26, 2019
Selected applications of splines of arbitrary manifold topology
Pieter Barendrecht, PhD Student, Computer Science, University of Groningen, The Netherlands
-
B1 L4 R4214
