Speaker: Nathan Kirk, ÂÌñÉç Title: Quasi-Monte Carlo Methods and Combinatorial Discrepancy Abstract: Quasi-Monte Carlo (QMC) methods offer deterministic accuracy improvements over standard...
Speaker: Aleksei Sorokin, ÂÌñÉç Title: Scientific Machine Learning for Exact Recovery of Nonlinear PDEs Abstract: Nonlinear partial differential equations (PDEs) with random coefficients arise...
Speaker: Nathan Kirk, senior research associate of applied mathematics, ÂÌñÉç Title: Quasi-Monte Carlo Methods and Combinatorial Discrepancy Abstract: Quasi-Monte Carlo (QMC) methods offer...
Speaker: Fred J. Hickernell, professor of applied mathematics, ÂÌñÉç Title: The Quality of Lattice and Kronecker Sequences Abstract: Computational Mathematics
Speaker: Minshen Xu, Ph.D. candidate, University of Massachusetts Amherst Title: Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input Abstract: Gaussian process (GP)...
Speaker: Fred J. Hickernell, Department of Applied Mathematics, Illinois Institute of Technology Title: Adaptive Algorithms where Input Functions Lie in Cones Abstract: Adaptive numerical algorithms...
Speaker: Aleksei Sorokin, Ph.D. student, Illinois Institute of Technology Title: A Neural Surrogate Solver for Radiation Transfer Abstract: Radiative transfer is often the dominant mode of heat...
Speaker: Jiangrui Kang, Ph.D. candidate, Illinois Institute of Technology Title: Convexification of Maximum Mean Discrepancy and Further Topics Abstract: This time I will introduce the trick proposed...
Speaker: Jiangrui Kang, Ph.D. candidate, Illinois Institute of Technology Title: Representative and Diverse Subdata Selection for Semi-supervised Learning and Beyond Abstract: Semi-Supervised Learning...
Speaker: Houman Owhadi, professor of applied and computational mathematics and dynamical systems, California Institute of Technology Title: Co-Discovering Graphical Structure and Functional...
