On this page: Series Overview • Key Focus Areas • Fall 2024 Events • Organizers • Attendance Information
The CDS Seminar Series showcases the latest developments from all areas of data science, featuring local speakers, special interdisciplinary events, and the flagship CDS Colloquium with worldwide leaders in the field. It takes place every Friday from 2pm–4pm, with talks scheduled from 2pm–3:30pm, followed by a reception for attendees from 3:30pm–4pm.
Series Overview
Launched to highlight cutting-edge research, the CDS Seminar Series brings together experts from various disciplines within data science. The series aims to be accessible to the entire CDS community, fostering collaboration and sparking new ideas across different areas of the center. By featuring a diverse range of speakers and topics, the series provides a platform for knowledge exchange and interdisciplinary dialogue.
Key Focus Areas
The seminar covers a wide range of topics in data science, including but not limited to:
- Machine Learning
- Artificial Intelligence
- Natural Language Processing
- Computer Vision
- Statistical Modeling
- Data Visualization
- Big Data Analytics
- Neural Networks
- Reinforcement Learning
- Causal Inference
- Computational Biology
- Data Ethics and Fairness
- Deep Learning
- Bayesian Methods
This seminar series serves as a bridge between different parts of CDS, encouraging cross-pollination of ideas and fostering potential collaborations within the center.
Fall 2024 Events
- Date: October 4, 2024
- Speakers: Cédric Gerbelot-Barrillon and Jonathan Colner
- Title: High-dimensional optimization for multi-spiked tensor PCA (Cédric Gerbelot-Barrillon) and Leveraging foundation models to extract local administrative data (Jonathan Colner)
- Date: September 27, 2024
- Speakers: Byung-Doh Oh, Aahlad Puli, and Yuzhou Gu
- Titles: What can linguistic data tell us about the predictions of (large) language models? (Byung-Doh Oh), Explanations that reveal all through the definition of encoding (Aahlad Puli), Community detection in the hypergraph stochastic block model (Yuzhou Gu)
- Date: September 20, 2024
- Speakers: Nick Seaver, Kyunghyun Cho, Grace Lindsay (moderator: Leif Weatherby)
- Title: Oral History of Machine Learning – “Why We Call It “Attention”
- Overview: Attention has rapidly become an essential technique in AI. This conversation between Nick Seaver (Tufts, Anthropology), Kyunghyun Cho (NYU Center for Data Science), and Grace Lindsay (NYU Center for Data Science), looks back to a moment before attention became “all you need,” when attention mechanisms were imagined and introduced.
Organizers
The CDS Seminar Series is organized by Associate Professor of Mathematics and Data Science Jonathan Niles-Weed, Associate Professor of Mathematics and Data Science Carlos Fernandez-Granda, Associate Professor of Linguistics and Data Science Tal Linzen, and Assistant Professor of Mathematics and Data Science Yanjun Han.
Attendance Information
The CDS Seminar Series takes place every Friday from 2pm–4pm. Talks are scheduled from 2pm–3:30pm, followed by a reception for attendees from 3:30pm–4pm. All members of the CDS community are encouraged to attend these sessions featuring cutting-edge research and insights from leading experts in the field of data science.