CMU Artificial Intelligence Seminar Series sponsored by

About the Artificial Intelligence Seminar Series

This is the home page for the Artificial Intelligence Seminar Series, sponsored by Morgan Stanley, at the School of Computer Science of Carnegie Mellon University. The faculty coordinator is Zico Kolter and the student coordinators are Shaojie Bai and Asher Trockman. The mailing list for upcoming AI Seminar talk announcements is on the SCS mailman server. Unless otherwise noted, the meetings are on Tuesdays at 12:00 PM Eastern Time (virtual due to the COVID-19 pandemic).

This seminar aims to cover a wide variety of AI topics, such as computer vision, natural language processing (NLP), theoretical ML, AI fairness & ethics, cognitive science, AI hardware, etc. See more about CMU AI initiative here. Please contact Shaojie or Asher for arrangement or questions about this page.

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(Click the icon in table to add a single talk to your Google calendar)

Date & Time Location Speaker Affiliation Title Video Link
Sep 21, 2021
12:00 PM
Zoom Stephan Hoyer Google Accelerating computational fluid dynamics with deep learning Youtube
Sep 28, 2021
12:00 PM
Zoom Ashique Khudabukhsh Carnegie Mellon University Novel Frameworks for Quantifying Political Polarization and Mitigating Hate Speech Youtube
Oct 12, 2021
12:00 PM
Zoom Kashif Rasul Morgan Stanley Modern Neural Probabilistic Forecasting Youtube
Oct 19, 2021
12:00 PM
Zoom Stefano Ermon Stanford University Generative Modeling by Estimating Gradients of the Data Distribution Youtube
Oct 26, 2021
12:00 PM
Zoom Chen Dan Carnegie Mellon University Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification Youtube
Nov 2, 2021
12:00 PM
Zoom Jeremy Cohen Carnegie Mellon University Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability Youtube
Nov 9, 2021
12:00 PM
Zoom Quanquan Gu UCLA Stochastic Gradient Descent: Benign Overfitting and Implicit Regularization Youtube
Nov 16, 2021
12:00 PM
Zoom Moritz Hardt University of California, Berkeley Retiring Adult: New Datasets for Fair Machine Learning Youtube
Nov 23, 2021
12:00 PM
Zoom Eric Wallace University of California, Berkeley What Can We Learn From Vulnerabilities of ML Models? Youtube

Zoom Christian Theobalt Max Planck Institute for Informatics Neural Methods for Reconstruction and Rendering of Real World Scenes Youtube

You may also add the AI seminar calendar to your own calendar: