Past Events
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Approximate symmetries in machine learning
Date: Friday, December 1, 2023, 11:00AMSpeaker: Soledad Villar, JHULocation: 60FA, Room 650 -
NLP and Text-as-Data Speaker Series
Date: Thursday, November 30, 2023, 04:00PMSpeaker: Daniel Khashabi, JHULocation: 60FA, Room 7th floor common area -
Sampling, spectral gaps and stochastic localization
Date: Thursday, November 30, 2023, 02:00PMSpeaker: Ahmed el Alaoui, CornellLocation: 60FA, Room 150 -
Data Science Lunch Seminar Series
Date: Wednesday, November 29, 2023, 12:30PMSpeaker: Saadia Gabriel, NYULocation: 60FA, Room 7th floor common area -
How Over-Parameterization Slows Down Gradient Descent
Date: Friday, November 17, 2023, 10:00AMSpeaker: Simon S. Du, University of WashingtonLocation: 60FA, Room 7th floor common area -
NLP and Text-as-Data Speaker Series
Date: Thursday, November 16, 2023, 04:00PMSpeaker: Eunsol Choi, UT AustinLocation: 60FA, Room 7th floor common area -
CILVR Seminar: Discrete Generative Models for Designing and Sampling Atomistic Data | Practical causal representation learning with an asymmetric prior
Date: Thursday, November 16, 2023, 11:00AMSpeaker: Nate Gruver, Taro Makino, NYULocation: 60FA, Room 7th floor common area -
Persistent learning signals and working memory without continuous attractors
Date: Thursday, November 16, 2023, 11:00AMSpeaker: Memming ParkLocation: 60FA, Room 650 -
Data Science Lunch Seminar Series
Date: Wednesday, November 15, 2023, 12:30PMSpeaker: Sebastian Wagner-Carena, NYULocation: 60FA, Room 7th floor common area -
A Promising Tale: Machine Learning for Neuroscience
Date: Tuesday, November 14, 2023, 11:00AMSpeaker: Zhe Sage Chen, New York University, Grossman School of MedicineLocation: 370J, Room 825