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General Talks

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Najnovije dodano:
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
11:44
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
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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2019-04-23
10:48
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

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2019-04-23
10:36
Introductory Comments / Goldfarb, Steven (speaker) (University of Melbourne (AU))
2019 - 0:02:51. REU; UM Semester Abroad - Student Talks External links: Talk details; Event details In : UM Semester Abroad - Student Talks

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2019-04-18
15:25
The information theory of Deep Learning / Tishby, Naftali (speaker) (Hebrew University of Jerusalem)
2019 - 1:12:24. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-18
15:25
Novelty Detection Meets Collider Physics / Li, Ying-Ying (speaker) (HKUST)
Novelty detection is the machine learning task to recognize data, which belong to an unknown pattern. Complementary to supervised learning, it allows to analyze data model-independently. [...]
2019 - 0:22:45. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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2019-04-18
14:52
The Tracking Machine Learning challenge / Rousseau, David (speaker) (LAL-Orsay, FR)
The HL-LHC will see ATLAS and CMS see proton bunch collisions reaching track multiplicity up to 10.000 charged tracks per event. Algorithms need to be developed to harness the increased combinatorial complexity. [...]
2019 - 0:32:50. LPCC Workshops; 3rd IML Machine Learning Workshop External links: Talk details; Event details In : 3rd IML Machine Learning Workshop

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