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General Talks

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უკანასკნელი დამატებები:
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2019-04-23
11:44
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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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2019-04-23
11:44
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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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2019-04-23
11:44
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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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2019-04-23
10:48
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High Granularity Calorimeter Simulation using Generative Adversarial Networks / Khattak, Gul Rukh (speaker) (University of Peshawar (PK))
High Energy Physics simulation typically involves Monte Carlo method. Today >50% of WLCG resources are used for simulation that will increase further as detector granularity and luminosity increase. [...]
2019 - 0:20:22. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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