The Data Science Graduate Student Seminar Series is an informal weekly gathering of NYU Data Science graduate students (though not exclusively!), in which a speaker presents a topic of their choosing i.e. their own research or just a paper they find interesting. The presentation is meant to last 45-60 minutes, with additional time for conversation and questions. The series meets Fridays from 12:00 – 1:00 PM in Room 650 at CDS.
The lunch seminar is organized by CDS PhD student Aram-Alexandre Pooladian. Please contact Aram if you are interested in giving a talk.
Spring 2022 Seminars
- 2/18 — Aram-Alexandre Pooladian, “Entropic Estimation of Optimal Transport Maps”
- 2/25 — Carles Domingo-Enrich: “Tighter Sparse Approximation Bounds for ReLU Neural Networks”
- 3/4 — Zhouhan Chen: “Information Tracer — an automatic framework to continuously monitor multi-platform information spread”
- 3/11 — Taro Makino: “Generative multitask learning mitigates target-causing confounding”
- 3/25 — Sayam Kapoor
- 4/1 — Lily Zhang
- 4/8 —Sanae Lotfi