Some introductory material on phase retrieval, emphasizing on PhaseLift which is a popular phase retrieval technique. Several applications are also highlighted.
Slides by Thomas Strohmer:
Weekly Seminar – 1/27/2017 – Deep Learning #2
After a great introductory talk on deep learning last week by Qi, Xiangyi Chen from Dr. Hong’s group will be presenting this week on optimization for neural networks (Chapter 8 of the Deep Learning book). The main focus of his talk will be on challenges in NN optimization, gradient based algorithms, the difference between training neural networks and pure optimization techniques.
Details for the seminar are as follows:
Date: Friday, 27th January 2017
Time: 3pm to 4pm
Venue: 2222, Coover Hall
Slides: Optimization for DNN
Weekly Seminar – 1/20/2017 – Deep Learning #1
We’re starting with our new format of talks, for the semester. The first mini-series of talks will be on Deep Learning (by popular vote), and will be initiated by Qi Xiao from Dr. Wang’s group.
She will be giving an introduction to deep learning, including typical models like feedforward neural networks and the back-propagation algorithm. She will also briefly talk about deep learning applications.
Slides: Introduction to Deep Learning
References:
1. Chapter 6, Deep Learning, by Ian Goodfellow and Yoshua Bengio and Aaron Courville
2. UFLDL Tutorial
The tentative plan for the next four weeks is to cover chapters 6,8,9,10,11 of the book. The schedule for speakers has been updated on the List of Talks page.
Date: 1/20/2017
Time: 3pm to 4pm
Venue: 3043 Coover Hall
Join us for a deep learning session on a topic that has been buzzing in our community for quite a while now! We also have medium roast coffee from Caribou Coffee to keep that buzz up. We’re pretty excited to see the way this new format of seminars shapes up, so your participation will be highly appreciated!
Weekly Seminar 1/13/17 + New developments
Welcome back, data science enthusiasts! We had an eventful seminar series last semester and have some new plans springing up for the new semester.
We’re kicking off our new batch of sessions with a talk by Binghui Wang from Dr. Neil Gong’s group, who will be presenting an introduction of Adversarial Machine Learning, a research filed that lies at the intersection of Machine Learning and Computer Security.
Date: Friday, 13th January, 2017
Time: 3pm to 4pm
Venue: 2222, Coover Hall
You can find the slides for the talk here: Slides
Some selected references:
We have a bunch of announcements regarding a new pattern of talks scheduled for this semester. We took a poll last month and decided to have 3-4 mini series of talks, each concentrating on a single topic. We will be discussing the speaker line-up as well as structuring for the same. Join us at 2222, Coover on Friday at 3pm to know more!
Also, beat the winter chill with some piping hot coffee that awaits you!