Select a calendar:
Filter November Events by Event Type:
Events for November 09, 2021
-
CS Distinguished Lecture: Michael Bronstein (Imperial College London / Twitter) - Geometric Deep Learning: from Euclid to drug design
Tue, Nov 09, 2021 @ 11:00 AM - 12:20 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Michael Bronstein, Imperial College London / Twitter
Talk Title: Geometric Deep Learning: from Euclid to drug design
Series: Computer Science Distinguished Lecture Series
Abstract: For nearly two millennia, the word "geometry" was synonymous with Euclidean geometry, as no other types of geometry existed. Euclid's monopoly came to an end in the 19th century, where multiple examples of non-Euclidean geometries were shown. However, these studies quickly diverged into disparate fields, with mathematicians debating the relations between different geometries and what defines one. A way out of this pickle was shown by Felix Klein in his Erlangen Programme, which proposed approaching geometry as the study of invariants or symmetries using the language of group theory. In the 20th century, these ideas have been fundamental in developing modern physics, culminating in the Standard Model.
The current state of deep learning somewhat resembles the situation in the field of geometry in the 19h century: On the one hand, in the past decade, deep learning has brought a revolution in data science and made possible many tasks previously thought to be beyond reach -” including computer vision, playing Go, or protein folding. At the same time, we have a zoo of neural network architectures for various kinds of data, but few unifying principles. As in times past, it is difficult to understand the relations between different methods, inevitably resulting in the reinvention and re-branding of the same concepts.
Geometric Deep Learning aims to bring geometric unification to deep learning in the spirit of the Erlangen Programme. Such an endeavour serves a dual purpose: it provides a common mathematical framework to study the most successful neural network architectures, such as CNNs, RNNs, GNNs, and Transformers, and gives a constructive procedure to incorporate prior knowledge into neural networks and build future architectures in a principled way.
In this talk, I will overview the mathematical principles underlying Geometric Deep Learning on grids, graphs, and manifolds, and show some of the exciting and groundbreaking applications of these methods in the domains of computer vision, social science, biology, and drug design.
(based on joint work with J. Bruna, T. Cohen, P. VeliÄkoviÄ)
Register in advance for this webinar at:
https://usc.zoom.us/meeting/register/tJAodeitqTwjHNLVLccoIBCb3Ngtx0rHF1TR
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Michael Bronstein is a professor at Imperial College London, where he holds the Chair in Machine Learning and Pattern Recognition, and Head of Graph Learning Research at Twitter. Michael received his PhD from the Technion in 2007. He has held visiting appointments at Stanford, MIT, and Harvard, and has also been affiliated with three Institutes for Advanced Study (at TUM as a Rudolf Diesel Fellow (2017-2019), at Harvard as a Radcliffe fellow (2017-2018), and at Princeton as a short-time scholar (2020)). Michael is the recipient of the Royal Society Wolfson Research Merit Award, Royal Academy of Engineering Silver Medal, five ERC grants, two Google Faculty Research Awards, and two Amazon AWS ML Research Awards. He is a Member of the Academia Europaea, Fellow of IEEE, IAPR, BCS, and ELLIS, ACM Distinguished Speaker, and World Economic Forum Young Scientist. In addition to his academic career, Michael is a serial entrepreneur and founder of multiple startup companies, including Novafora, Invision (acquired by Intel in 2012), Videocites, and Fabula AI (acquired by Twitter in 2019).
Host: Mukund Raghothaman
Webcast: https://usc.zoom.us/meeting/register/tJAodeitqTwjHNLVLccoIBCb3Ngtx0rHF1TRLocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/meeting/register/tJAodeitqTwjHNLVLccoIBCb3Ngtx0rHF1TR
Audiences: Everyone Is Invited
Contact: Computer Science Department
-
CS Undergraduate Live Chat Drop-in AdvisementTue, Nov 09, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Student Activity
CS Advisors will be available on Tuesdays/Wednesdays/Thursdays this fall from 1:30pm to 2:30pm to assist undergraduates in our four majors (CSCI, CSBA, CSGA, and CECS) via Live Chat. Access the live chat through our website at https://cs.usc.edu/chat
Location: Online - Live Chat
Audiences: Undergrad
Contact: USC Computer Sciecne
-
Photonics Seminar Series
 (1).png)
Tue, Nov 09, 2021 @ 01:30 PM - 02:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Alireza Marandi, Caltech
Talk Title: Integrated Nonlinear Photonics: New Opportunities in the Nanometer and Femtosecond Scales
Series: Photonics Seminar
Host: Electrical and Computer Engineering: Wade Hsu, Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris, and Wei Wu
More Info: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Webcast: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09More Information: Photonics Seminar _Alireza Marandi 11-9-21.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
Audiences: Everyone Is Invited
Contact: Jennifer Ramos/Electrophysics
Event Link: https://usc.zoom.us/j/91808071892?pwd=VUwyK3NSNW5rSzVLQzFKSGdPc05yUT09
-
Drop-In Weekly Office Hours [Virtual] Posted By: Center for Advanced Research Computing
Tue, Nov 09, 2021 @ 02:30 PM - 05:00 PM
Information Technology Program (ITP)
Workshops & Infosessions
Every Tuesday, office hours are an opportunity for CARC users to ask questions about research computing. No appointment/registration is necessary, but you must use your USC credentials to access the Zoom meeting by clicking "Register" below. For in-person support, we are also in Leavey Library room 3M (basement) during this same time period. Register Here!
Audiences: Everyone Is Invited
Contact: Center for Advanced Research Computing
-
ISE 651 - Epstein Seminar
Tue, Nov 09, 2021 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Lin Xiao, Research Scientist, Facebook AI Research (FAIR)
Talk Title: Fast Convergence of Exact Policy Gradient Methods
Host: Dr. Meisam Razaviyayn
More Information: November 9, 2021.pdf
Location: Zoom/Online
Audiences: Everyone Is Invited
Contact: Grace Owh
-
Virtual First-Year Admission Information Session
Tue, Nov 09, 2021 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.
Register here!Audiences: Everyone Is Invited
Contact: Viterbi Admission
 (1).png)
