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: 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: 25th April, 2025
Speaker: Julie Bessac (National Renewable Energy Laboratory)
Title: Statistical learning for Summary Statistics of Physics-based Model Outputs and their Correction and Probabilistic Outputs from Neural Networks applied to Super-resolution
Venue: 2636 GGBA and Zoom
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Upcoming Lectures
Events
FSML Lecture Series – Julie Bessac (National Renewable Energy Laboratory): Statistical learning for Summary Statistics of Physics-based Model Outputs and their Correction and Probabilistic Outputs from Neural Networks applied to Super-resolution
GG Brown Laboratory - 2636Statistical learning for Summary Statistics of Physics-based Model Outputs and their Correction and Probabilistic Outputs from Neural Networks applied to Super-resolution