Workshop on Mathematical Machine Learning and Application

The Workshop on Mathematical Machine Learning and Application will take place on April 27-29, 2020. Workshop will be held in room 114 of the Department of Mathematics of Penn State, located at McAllister Building, Pollock Rd, State College, PA.
As part of the workshop, Prof. George Karniadakis and Prof. Jinchao Xu will deliver introductory lectures on the mathematics of deep learning with junior participants as the target audiences on Sunday, April 26 2020.

Overview

Today, machine learning is a hot topic with important practical applications. Notable successes are the classification problems for identifying pictures and the Artificial Intelligence (AI) Go-player, AlphaGo Zero, which beat the best human player in the world. While these successes indicate that we are making progress toward applying AI to various important tasks, there are many emerging scientific questions. For instance, how can we understand these empirical successes in a mathematically rigorous way, using approximation theory and probability theory? Can we develop a theory which can guarantee the success of machine learning models in certain situations? How can we apply ideas from machine learning to existing problems in numerical analysis, such as Bayesian inference, operator estimation, solving PDE’s, density estimation, sampling methodology, and uncertainty quantification. Can machine learning be applied to the mathematical modeling of dynamical systems that historically relies on first principle calculations?

This workshop aims to bring together leading experts across scientific disciplines to discuss recent efforts in addressing these questions. Our hope is that the activity will inspire and attract participants to work on related mathematical problems in this emerging field and hopefully contribute to the development of the modern data-driven scientific computational methods to address these questions.

Confirmed Speakers

Schedule:

Poster presentations:

Poster presentations are welcome and accepted by Friday, April 17, for details, click here.

Registration

The registration is now tenatively closed due to the unanticipated situation that the registrations has already reached its capacity.  The organizers are now making every effort to address this capacity issue.  If you still want to join this workshop, please email to workshop@multigrid.org with your name, title, email address, affiliation and arrival/departure dates so that we can include your name in the waiting list.

Travel support

For junior US-based participants, to apply travel support, please click here.

Logging

Blocks of rooms have been reserved in the following two hotels:

Days Inn: 1-800-258-3297 or 814-238-8454. Reference group code 042620PSU. Rates are $94+tax(two beds)/night. Reservations with PSU discount must be made on or before March 26, 2020.

Hyatt Place State College: 1-888-492-8847.  Reference group code G-NURB.  Rates are $109+tax(two beds)/night. Reservations with PSU discount must be made on or before April 3, 2020.

Participants should make their own hotel reservations and guarantee with a valid credit card. Guests will pay for their own lodging at the hotel during checkout. Please call hotel phone number listed, code will not work with the online system.

Lodging reservations for the Invited Speakers will be made by the organizers.

For other hotels in State College area, please click here.

Should you decide change your arrival/departure dates or if you should decide not to attend, please contact the hotel directly. Please note: cancellation fees, early departure fees and no-show policies effective.

Directions to State College, please click here.

Local Organizing Committee

John Harlim (The Pennsylvania State University)

Juncai He (The Pennsylvania State University)

Qingguo Hong (The Pennsylvania State University)

Jonathan Siegel (The Pennsylvania State University)

Jinchao Xu (The Pennsylvania State University)

For more information related to this workshop, please contact us via workshop@multigrid.org.

Sponsors

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