Speaker: Aleksei Sorokin, Ph.D. candidate, ÐÓ°ÉÔ´´ Institute of Technology Title: Fast Gaussian Process Regression with Derivative Information Abstract: Gaussian process regression, or kriging, is a...
Speaker: Nathan Kutz, Yasuko Endo and Robert Bolles Professor of Applied Mathematics and Electrical and Computer Engineering, University of Washington Title: The future of governing equations Abstract...
Speaker: Whitney Huang, Assistant Professor, School of Mathematics and Statistics, Clemson University Title: Modeling High Frequency Oscillating Biomedical Signals Using Synchrosqueezing Transform and...
Speaker: Yubin Lu, postdoctoral researcher, Department of Applied Mathematics, ÐÓ°ÉÔ´´ Institute of Technology Title: An Introduction to Normalizing Flow and Its Applications Abstract: We will...
Speaker: Onyekachi Osisiogu, Postdoctoral Researcher, Department of Applied Mathematics, ÐÓ°ÉÔ´´ Tech Title: Construction Methods for Rank-1 Lattice Rules Abstract: Lattice rules are quasi-Monte...
Speaker: Ming Zhong, assistant professor, Department of Applied Math, ÐÓ°ÉÔ´´ Institute of Technology Title: How Scientific Machine Learning Can Be Used for Knowledge Discovery? Abstract: Identifying...
Speaker: Simon Mak, Assistant Professor, Department of Statistical Science at Duke University Title: Population Quasi-Monte Carlo Abstract: Monte Carlo methods are widely used for approximating...
Join faculty from ÐÓ°ÉÔ´´ Institute of Technology and Rust College for an online panel discussion "What is Data Science, and Why Is Important?" Moderated by Shlomo Argamon, ÐÓ°ÉÔ´´ Tech professor of...
Speaker: Professor Ilse Ipsen, Department of Mathematics at North Carolina State University Title: BayesCG: A probabilistic numeric linear solver Abstract: We present the probabilistic numeric solver...
Speaker: Huiyuan Yu, Ph.D., ÐÓ°ÉÔ´´ Institute of Technology Title: Compressed Sensing: Algorithms and Convergence Properties Abstract: Compressive sensing (CS) states that a sparse signal can be...
