CMX is a new research group aimed at the development and analysis of novel algorithmic ideas underlying emerging applications in the physical, biological, social and information sciences. We are distinguished by a shared value system built on the development of foundational mathematical understanding, and the deployment of this understanding to impact on emerging key scientific and technological challenges.
FacultyVenkat ChandrasekaranMathieu Desbrun Thomas Hou Houman Owhadi Peter Schröder Andrew Stuart Joel Tropp Von Karman InstructorsFranca HoffmannKa Chun Lam Postdoctoral ResearchersMatthew DunlopKa Chun Lam Shiwei Lan Pengfei Liu Grad StudentsMax BudninskiyUtkan Candogan Albert Chern De Huang Nikola Kovachki Dzhelil Rufat Florian Schaefer Yong Shen Soh Armeen Taeb Pengchuan Zhang SURFVictor Chen |
Lunch Seminars(Will be held at 12 noon in Annenberg 213, unless otherwise specified.)
October 4, 2017
▦ Venkat Chandrasekaran ▦
October 18, 2017
▦ Andrew Stuart ▦ Uncertainty quantification in graph based learning
October 25, 2017
▦ Houman Owhadi ▦ The game theoretic approach to numerical analysis and algorithm design
November 15, 2017
▦ Joel Tropp ▦
November 29, 2017
▦ Peter Schröder ▦
December 13, 2017
▦ Mathieu Desbrun ▦ Other Seminars
Thursday, August 31, 2017
▦ Adam Oberman ▦ A PDE approach to regularization in deep learning Annenberg 213 2:00pm Meetings and Workshops
Inverse Problems in Machine Learning
Feb 9-11, 2018 |