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General Talks

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2019-04-25
17:25
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Learning representations of irregular particle-detector geometry with distance-weighted graph networks / Kieseler, Jan (speaker) (CERN)
We explore the possibility of using graph networks to deal with irregular-geometry detectors when reconstructing particles. Thanks to their representation-learning capabilities, graph networks can exploit the detector granularity, while dealing with the event sparsity and the irregular detector geometry. [...]
2019 - 0:20:53. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-25
17:25
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ML Techniques for heavy flavour identification in CMS / Bols, Emil Sorensen (speaker) (Vrije Universiteit Brussel (BE))
Jet flavour identification is a fundamental component for the physics program of the LHC-based experiments. The presence of multiple flavours to be identified leads to a multiclass classification problem. [...]
2019 - 0:27:28. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-25
17:15
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Feature ranking based on subtraction methods / Glaysher, Paul (speaker) (DESY)
The input variables of ML methods in physics analysis are often highly correlated and figuring out which ones are the most important ones for the classification turns out to be a non-trivial tasks. We compare the standard method of TMVA to rank variables with a several newly developed methods based on iterative removal for the use case of a search for top pair associated Higgs production (ttH) in the Higgs to b-pair decay channel..
2019 - 0:20:43. 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
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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 - 0:21:12. 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
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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
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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
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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
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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
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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
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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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