Past events
IMA Data Science Seminar: Does Deep Learning Solve the Phase Retrieval Problem?
Tuesday, Sept. 8, 2020, 1:25 p.m. through Tuesday, Sept. 8, 2020, 2:25 p.m.
Online
Data science seminars hosted by the The Institute for Mathematics and Its Applications (IMA) take place on Tuesdays from 1:25 p.m. - 2:25 p.m.
This week's speaker, Ju Sun (University of Minnesota), will be giving a talk titled "Does Deep Learning Solve the Phase Retrieval Problem?".
Registration is required to access the Zoom webinar.
Abstract
Phase retrieval is a difficult inverse problem, with three types of intrinsic symmetries. These symmetries can fail even the classic methods, e.g., HIO on complex-valued images when the object support is not precisely known --- allowing free translations. Do these symmetries cause learning difficulty if one deploys the deep learning approach? We show that that’s indeed the case, and we present two solutions to the problem: one is active symmetry breaking based on careful pre-processing on the training data, and the other passive symmetry breaking exploiting massive amounts of data and implicit regularization.
Graduate Programs Information Session
Friday, July 10, 2020, 1:30 p.m. through Friday, July 10, 2020, 2:30 p.m.
Online - link provided after registration
Prospective students can RSVP for an information session to learn about the following graduate programs:
- Computer Science M.S.
- Computer Science MCS
- Computer Science Ph.D.
- Data Science M.S.
- Data Science Post-Baccalaureate Certificate
During the information session, we will go over the following:
- Requirements (general)
- Applying
- Prerequisite requirements
- What makes a strong applicant
- Funding
- Resources
- Common Questions
- Questions from attendees