Oct 24, 2024 | 2022, diiP, Seminars + Hands-On Workshops
Foula VagenaApril 13, 4 PMonline (zoom) Abstract Generative modeling is a field in machine learning that involves automatically discovering and learning regularities or patterns in the data in such a way that the ML model can generate or output new examples...
Oct 24, 2024 | 2022, diiP, Seminars + Hands-On Workshops
Shen LiangOctober 19, 4 PM (Central Eastern Time)online (zoom) Follow Dr Shen Liang(Université Paris Cité, diiP)Shen Liang is a research associate at the Data Intelligence Institute of Paris (diiP) and affiliated with the Université Paris Cité. He has...
Oct 23, 2024 | 2022, diiP, Distinguished Lectures
Eamonn Keogh February 2, 2022, at 4 PM Online (Zoom) Abstract Time series data mining is the task of finding patterns, regularities, and outliers in massive datasets. Given the ubiquity of time series in medicine, science, and industry, time series data...
Oct 23, 2024 | 2022, diiP, Distinguished Lectures
Christopher Messenger April 6, 2022, at 4 PM Online (Zoom) Abstract As gravitational wave astrophysicists we find ourselves on the rising wave of machine learning sweeping through the physical sciences. In the past ~5 years many of us have embraced the...
Oct 23, 2024 | 2022, diiP, Distinguished Lectures
Jean-François Masson May 4, 2022, at 4 PM Online (Zoom) Abstract SERS and Raman spectroscopy yields large data sets with information-rich spectra. Classical linear methods are limited, especially for SERS spectra of single molecules, where the spectra...
Oct 22, 2024 | 2022, DIAI, diiP
2021 PhD/ DIAI Projects @ED386 PhD studentGuillaume Serieys (MAP5, Université Paris Cité, CNRS) SupervisorJoan Alexis Glaunès Project Summary Medical imaging often involves nonlinear space-valued images, where pixel or voxel values belong to more complex...
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