Seminar and Lecture Series
The AI Institute holds a monthly seminar series with a lively mix of local and external speakers. Upcoming events are always posted on our Institute calendar.
Other outstanding speakers of interest come as part of the Department of Computer Science Shutterstock Distinguished Lecture Series (DLS). Recent visitors include Daniel Rubenstein, Princeton University; Ellen Zegura, Georgia Tech; Brian Kernighan, Princeton University; and Patrick McDaniel, Pennsylvania State University.
Spring 2022
Tony Zador, "The Genomic Bottleneck Algorithm for Faster Learning and Better Generalization" - February 7, 2022 (Slides) (Video)
Fall 2021
Chao Chen, "Detection of Trojan Attacks on Deep Neural Networks - A Topological Perspective" - November 29, 2021 (Slides) (Video)
Stanley Bak, "What Can We Prove About Neural Networks?" - November 1, 2021 (Slides) (Video)
Spring 2021
Arie Kaufman, "Video Analytics and Machine Learning for Biomedical Imaging Diagnosis" - April 21, 2021 (Video)
Owen Rambow, "Natural Language Understanding and Semantic Parsing" - March 17, 2021 (Slides) (Video)
Haibin Ling, "Computer Vision and Applications in the Deep Learning Era" - February 17, 2021 (Slides) (Video)
Fall 2020
Yifan Sun, "Optimization and machine learning" - September 16, 2020 (Slides)(Video)
David Gu, "A Geometric Understanding of Deep Learning" - October 14, 2020 (Slides)(Video)
Alex Koulakov, "Brain Evolution as a Machine Learning Algorithm" - November 11, 2020 (Slides)
Spring 2020
Jeffrey Heinz (Linguistics and IACS), "What Does Learning Mean?" - February 6, 2020 (Slides)
Michael Ryoo, "Video Architecture Search" - April 2, 2020
Naoya Inoue (NLP), "Do Natural Language Understanding Systems Learn to Understand or to Find Shortcuts?" - May 7, 2020 (Slides)
Baojian Zhou (Machine Learning), "Learning Graph-Structured Sparse Models" - May 7, 2020 (Slides)
Fall 2019
Zhenhua Liu (AMS), "Online Optimization and Its Applications" - September 25, 2019
Michael Douglas (SCGP), "AI in Math and Physics" - October 23, 2019 (Slides)
Jerome Zhengrong Liang, PhD, IEEE Fellow, Machine Learning from Original Images to Texture Patterns: A Paradigm Shift from Non-Medical Application to Medical Diagnosis" - November 20, 2019
Spring 2019
Petar Djuric, February 7th, 2019 (Slides)
Niranjan Balasubramanian, March 7th, 2019 (Slides)
Eugene Feinberg, April 4th, 2019 (Slides)
Fall 2018
Memming Park, October 11, 2018 (Slides)
Andrew Schwartz, December 13, 2018 (Slides)
