Nov 7, 2024 | 2022, DIAI, diiP, Physics/Astronomy
2022 PhD/ DIAI Projects @Astronomy Particle physics and graph neural networks Santiago PENA MARTINEZ Project Summary A new generation of neutrino experiments is in the horizon looking to explore many of the open questions on neutrino properties and searching for...
Oct 24, 2024 | 2024, diiP, Distinguished Lectures
Alon HalevyDecember 04, 2024Vulpian Amphitheater, 12 rue de l’École de Médecine (75006 Paris) 🔗 2024 diiP Projects Day Alon Halevy is a Distinguished Engineer in Google Cloud. From 2019 until November 2023, he was a director at Meta’s Reality Labs Research, where he...
Oct 24, 2024 | 2022, diiP, Seminars + Hands-On Workshops
Shen LiangMay 18, 4 PM online (zoom) Follow Abstract This tutorial presents an overview of knowledge-guided data science, a rising methodology in machine learning which fuses data with domain knowledge. We will present numerous case studies on this methodology...
Oct 24, 2024 | 2022, diiP, Seminars + Hands-On Workshops
Shen LiangJune 15, 4 PMonline (zoom) Follow Abstract This tutorial provides an overview of two important and correlated (in many cases intersectional) topics in deep learning: transfer learning, and multi-task learning. Transfer learning focuses on...
Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops
Foula VagenaApril 13, 4 PMonline (zoom) Abstract Recurrent neural networks (RNNs) are a family of specialized neural networks for processing sequential data. They can scale to much longer sequences than would be practical for networks without sequence-based...
Oct 24, 2024 | 2021, diiP, Seminars + Hands-On Workshops
Foula VagenaDecember 15, 4pmonline (zoom) Abstract Ensemble learning is the process by which multiple models, such as classifiers or experts, are combined to solve a particular computational intelligence problem. Ensemble learning is primarily used to improve...
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