Frontiers in Scientific Machine Learning (FSML)
The Frontiers in Scientific Machine Learning (FSML) Seminar Series at the University of Michigan is organized by Sahil Bhola and Aniket Jivani. This is a platform dedicated to exploring the intersection of machine learning with scientific research and engineering. This series will feature talks from leading experts and student researchers in the field, covering cutting-edge topics and fostering discussions on the latest advancements and challenges in scientific ML.
Lecture Format: The seminars are held in hybrid format, with the audience joining in-person and online via Zoom. Presenters give talks ranging from 30 to 45 minutes in duration, followed by discussions and Q & A.
Time:Â Fridays (every two weeks), 12pm – 1pm Eastern Time
Recordings of previous talks can be found on our YouTube Channel – FSML Seminars at UMich
Details of upcoming talks can be found below and also at the FSML U-M Events Page
Next talk:
November 15, 2024, 12-1pm ET
Hongfan Chen (University of Michigan) – Global Geomagnetic Perturbation Forecasting with Quantified Uncertainty using Deep Gaussian Process
Venue: 2636 GGBA and Zoom
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Upcoming Lectures
Events
FSML Lecture Series – Hongfan Chen: Global Geomagnetic Perturbation Forecasting with Quantified Uncertainty using Deep Gaussian Process
2636 GGBA 2350 Hayward St, Ann Arbor, MI, United StatesGlobal Geomagnetic Perturbation Forecasting with Quantified Uncertainty using Deep Gaussian Process
FSML Lecture Series – Anoushka Bhutani: Foundation Model for Molecular Design
2636 GGBA 2350 Hayward St, Ann Arbor, MI, United StatesFoundation Model for Molecular Design
Previous Lectures
| Date | Speaker (Click on link for bio and abstract) |
|---|---|
| November 01, 2024 | FSML Lecture Series – Nicholas Galioto: Discovery of Cellular Reprogramming Methodology Through Single-cell Foundation Models Additional Details |
| October 18, 2024 | FSML Lecture Series: Domain decomposition and coupling data-driven models of fluid flows by Christopher Wentland, Sandia National Labs Additional Details |
| October 04, 2024 | FSML Lecture Series: Tokenization for Chemistry by Alex Wadell, University of Michigan |