Machine Learning Group Meetings - Fall 2021
We will discuss machine learning applications to different fields, in a way that is accessible to non-specialists. The goal of these meetings would be to learn about and discuss the latest, greatest ML innovations and their novel applications in different domains, in the hopes of cross-fertilizing new ideas and spurring new collaborations.
These will be held biweekly at 3pm, but we may adjust this depending on demand.
Zoom Link: TBA
| Day | Title | Speaker | Recording / Slides |
|---|---|---|---|
Please contact our administrative assistant Christina Pettola (cpettola at physics.rutgers.edu) with questions.
Previous Semesters
Spring 2021
| Day | Title | Speaker | Recording / Slides |
|---|---|---|---|
| February 8 | Normalizing Flows and their Application to Particle Physics | Claudius Krause (Rutgers) | Recording |
| February 22 | Representing Manifolds Representation by Bioinspired Neural Nets | Anirvan Sengupta (Rutgers) | Recording / Slides |
| March 8 | Using Neural Networks to Select Galaxy Samples with Highly Accurate Photometric Redshifts for Cosmological Analysis | Adam Broussard (Rutgers) | Recording / Slides |
| March 22 | Learning early detection systems for pulsar timing arrays | Marat Freytsis (Rutgers) | Recording |
| April 5 | Using machine learning to identify toxic gases emitted from vehicle exhausts | Unab Javed (Rutgers) | Recording |
| May 3 | Using Gaussian Processes to Decode the Star Formation Histories of Galaxies | Kartheik Iyer (University of Toronto) | Recording |
| May 17 | A physics-informed super-resolution network | Diane Salim (Rutgers) | Recording |