CERN Accelerating science

Video Lectures

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2019-04-24
09:00
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ParticleNet: Jet Tagging via Particle Clouds / Qu, Huilin (speaker) (Univ. of California Santa Barbara (US))
How to represent a jet is at the core of machine learning on jet physics. Inspired by the notion of point cloud, we propose a new approach that considers a jet as an unordered set of its constituent particles, effectively a "particle cloud". [...]
2019 - Streaming video. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-24
09:00
Dual Readout Calorimetry Signal Analysis with Neural Networks / Saravanan, Murali (speaker) (Texas Tech University (US))
2019 - 0:26:58. REU; UM Semester Abroad - Student Talks External links: Talk details; Event details In : UM Semester Abroad - Student Talks

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2019-04-23
12:03
Introduction to the basics of deep learning / Rath, Yannik Alexander (speaker) (RWTH Aachen University (DE))
2019 - 1:30:17. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-23
11:59
Physics inspired Autonomous Feature Engineering / Rieger, Marcel (speaker) (RWTH Aachen University (DE))
2019 - 0:59:24. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-23
11:55
Differentiable architecture search / Ustyuzhanin, Andrey (speaker) (Yandex School of Data Analysis (RU))
2019 - 0:13:35. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-23
11:48
Bayesian dropout explanation and examples / Ustyuzhanin, Andrey (speaker) (Yandex School of Data Analysis (RU))
2019 - 0:19:01. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-23
11:44
Bayesian approach to network design / Ustyuzhanin, Andrey (speaker) (Yandex School of Data Analysis (RU))
2019 - 0:30:52. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-23
11:44
Traditional approach to network architecture optimisation / Ustyuzhanin, Andrey (speaker) (Yandex School of Data Analysis (RU))
2019 - 1:14:59. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-23
11:44
Exploring SMEFT in VH channel with Machine Learning / Khosa, Charanjit Kaur (speaker)
We use Machine Learning(ML) techniques to exploit kinematic information in VH, the production of a Higgs in association with a massive vector boson. We parametrize the effect of new physics in terms of the SMEFT framework. [...]
2019 - 0:23:18. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-23
11:44
Deep generative models for fast shower simulation in ATLAS / Ghosh, Aishik (speaker) (Centre National de la Recherche Scientifique (FR))
The extensive physics program of the ATLAS experiment at the Large Hadron Collider (LHC) relies on large scale and high fidelity simulation of the detector response to particle interactions. Current full simulation techniques using Geant4 provide accurate modeling of the underlying physics processes, but are inherently resource intensive. [...]
2019 - 0:20:25. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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