Cell-centered extrapolation cascadic multigrid method for solving diffusion equation with discontinuous coeffcients Xiaoxin Wu, Central South University, China May 2, 09:00 - 10:00 https://meeting.tencent.com/dm/bpUiLe2AlgBC Multigrid
Structure-conforming Operator Learning via Transformers Prof. Shuhao Cao, University of Missouri–Kansas City Apr 22, 16:00 - 17:00 KAUST transformers
Approximation and Generalization Errors in Deep Neural Networks for Sobolev Spaces measured by Sobolev Norms Dr. Yahong Yang, Department of Mathematics, Penn State University Feb 14, 16:00 - 17:00 KAUST deep neural networks approximation Sobolev Spaces
Unveiling Insights from "Gradient Descent Converges Linearly for Logistic Regression on Separable Data" Bang An, Ph.D. Student, Applied Mathematics and Computational Sciences Jan 17, 10:00 - 11:00 B1 L0 R0118 gradient methods Regression Models
Physics-informed Neural Networks for Learning the Homogenized Coefficients of Multiscale Elliptic Equations Dr. Jun Sur Richard Park, Korea Institute for Advanced Study Jan 10, 10:00 - 11:00 KAUST Physics-informed Neural Networks multiscale methods Homogenization
A Combination of Physics-informed Neural Networks with the Fixed-stress Splitting Iteration for Solving Biot’s Model Prof. Mingchao Cai, Department of Mathematics, Morgan State University Jan 3, 16:00 - 17:00 KAUST Physics-informed Neural Networks
An Unconditionally Energy-stable and Orthonormality-preserving Iterative Scheme for the Kohn-Sham Gradient Flow Based Model Xiuping Wang, AMCS, CEMSE, KAUST Dec 27, 10:00 - 11:00 B1 L0 R0118 Kohn-Sham gradient flow Orthonormality-preserving
Deep Neural Network Approximation via Function Compositions Dr. Shijun Zhang, Department of Mathematics, Duke University Dec 20, 19:00 - 20:00 KAUST deep neural networks approximation
Arabic NLP @ AI Initiative Oleg Serikov, AI Initiative, KAUST Dec 13, 09:00 - 10:00 B1 L3 R3309 Arabic natural language processing
