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EVENT DETAILS |
The Machine Learning New York City (ML-NYC) Speaker Series & Happy Hour is a monthly event for machine learning practitioners, researchers, & students to meet & watch talks from leading researchers in the field. Each event will feature a New York City-based speaker presenting their work, followed by a happy hour. The ML-NYC Speaker Series is open to anyone interested in machine learning research, & we encourage everyone to attend, whether you are just getting started in research or an expert in the field.
We are excited to welcome Daniel Lee as our next speaker on Wednesday, September 20. The talk will begin at 4pm at the Flatiron Institute, & it will be followed by a happy hour. You must register on Eventbrite to attend the talk & happy hour.
Title: Perceptrons Revisited
Abstract: Rosenblatt's perceptron model has endured as the basic building block of state-of-the-art neural networks for object classification, segmentation, scene understanding & multimodal representations. How can we understand how the representations of sensor input signals are transformed by deep neural networks? I show how statistical insights can be gained by analyzing the high-dimensional geometrical structure of these representations as they are reformatted in neural network hierarchies. The perceptron model can be derived via an optimality principle by considering a binary neuron with two states representing firing & quiescent states embedded in a feedback environment adapting to regulate a discounted quadratic cost over time. This framework can be generalized to larger discount factors with representative solutions derived for state spaces with varying dimensions.
Bio: Dr. Daniel D. Lee is the Tisch University Professor in Electrical & Computer Engineering at Cornell Tech & recently served as the Global Head of AI for Samsung Research. He received his B.A. summa cum laude in Physics from Harvard University & his Ph.D. in Condensed Matter Physics from the Massachusetts Institute of Technology. He was also a researcher at Bell Labs in the Theoretical Physics & Biological Computation departments. He is a Fellow of the IEEE & AAAI & has received the NSF CAREER award & the Lindback award for distinguished teaching. He was also a fellow of the Hebrew University Institute of Advanced Studies in Jerusalem, an affiliate of the Korea Advanced Institute of Science & Technology, & organized the US-Japan National Academy of Engineering Frontiers of Engineering symposium & Neural Information Processing Systems (NeurIPS) conference. His group focuses on understanding general computational principles in biological systems & on applying that knowledge to build autonomous systems.
Organizers: The ML-NYC Speaker Series is organized by professors David Blei & Joan Bruna along with PhD students Claudia Shi, Keyon Vafa, & Noah Amsel. Please email nycmachinelearning@gmail.com if you have any questions. You can also follow us on Twitter @MLNYCSeries, join our mailing list, or check out our website.
Protocols:
By entering the building each person implicitly attests that they do not have symptoms consistent with COVID & they are not knowingly COVID positive.
Enter with a government issued ID (you will need to show your ID, not the QR code from Eventbrite) when arriving at the building.
There is NO food or drink allowed in the auditorium.
Please do not arrive earlier than 30 minutes before the event.
The Flatiron Institute is located at 162 Fifth Ave. The entrance is on 21st street between 5 & 6 Ave & the IDA auditorium is located on the 2nd floor.
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