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Seventh Machine Learning in High Energy Physics Summer School 2021

from Thursday, 15 July 2021 (09:00) to Friday, 30 July 2021 (20:30)
Zoom

        : Sessions
    /     : Talks
        : Breaks
15 Jul 2021
16 Jul 2021
17 Jul 2021
19 Jul 2021
20 Jul 2021
21 Jul 2021
22 Jul 2021
23 Jul 2021
24 Jul 2021
26 Jul 2021
27 Jul 2021
28 Jul 2021
29 Jul 2021
30 Jul 2021
AM
PM
13:00 Welcome, opening words - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))   ()
13:10 Practice. Getting familiar with school infrastructure - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) Vladislav Belavin (Yandex School of Data Analysis (RU))   ()
13:30
Section 1. Introduction into ML - Artem Maevskiy (National Research University Higher School of Economics (RU)) (until 14:30) ()
14:30
Section 1. Introduction into ML - Artem Maevskiy (National Research University Higher School of Economics (RU)) (until 15:30) ()
15:30 Introduction into the 1st coopetition - Nikita Kazeev (Yandex School of Data Analysis (RU))   ()
16:00 --- Break ---
16:30
Section 1. Introduction into ML - Artem Maevskiy (National Research University Higher School of Economics (RU)) (until 17:30) ()
17:30
Section 1. Introduction into ML - Artem Maevskiy (National Research University Higher School of Economics (RU)) (until 18:30) ()
13:00
Section 1. Introduction into ML - Mikhail Hushchyn (Yandex School of Data Analysis (RU)) (until 14:00) ()
14:00
Section 1. Introduction into ML - Mikhail Hushchyn (Yandex School of Data Analysis (RU)) (until 15:00) ()
15:00
Section 1. Introduction into ML - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 16:00) ()
16:00 --- Break ---
16:30
Section 1. Introduction into ML - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 17:30) ()
17:30
Section 1. Introduction into ML - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 18:30) ()
13:00
Section 1. Introduction into ML - Mikhail Hushchyn (Yandex School of Data Analysis (RU)) (until 14:00) ()
14:00
Section 1. Introduction into ML - Mikhail Hushchyn (Yandex School of Data Analysis (RU)) (until 15:00) ()
15:00
Section 1. Introduction into ML - Mikhail Hushchyn (Yandex School of Data Analysis (RU)) (until 16:00) ()
16:00 --- Break ---
16:30
Guest lectures - Iten Raban (until 17:30) ()
13:00
Section 2. Introduction into Neural Networks - Artem Maevskiy (National Research University Higher School of Economics (RU)) (until 14:30) ()
14:30
Section 2. Introduction into Neural Networks - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 16:00) ()
16:00 --- Break ---
16:30 Introduction into the 2nd competition - Nikita Kazeev (Yandex School of Data Analysis (RU))   ()
17:00
Section X (until 20:00) ()
13:00
Section 2. Introduction to Neural Nets - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 14:00) ()
14:00
Section 2. Introduction to Neural Nets - Artem Maevskiy (National Research University Higher School of Economics (RU)) (until 15:00) ()
15:00
Section 2. Introduction to Neural Nets - Ekaterina Artemova (until 16:00) ()
16:00 --- Break ---
16:30
Section 2. Introduction to Neural Nets - Artem Maevskiy (National Research University Higher School of Economics (RU)) (until 17:30) ()
17:30
Guest lectures - Jackob Macke (until 19:00) ()
13:00
Section 3. Bayesian Deep Learning - Ekaterina Lobacheva (until 13:30) ()
13:30
Section 3. Bayesian Deep Learning - Ekaterina Lobacheva (until 14:00) ()
14:00
Section 3. Bayesian Deep Learning - Nadya Chirkova (until 15:00) ()
14:00 Bayesian Neural Networks - Introduction   ()
14:30 Bayesian Neural Networks - Training   ()
15:00
Section 3. Bayesian Deep Learning - Nadya Chirkova (until 15:30) ()
15:30
Competition time (until 16:00) ()
16:00 --- Break ---
16:30
Section 3. Bayesian Deep Learning - Ekaterina Lobacheva (until 17:30) ()
16:30 Variational Inference   ()
17:00 Seminar: Variational Inference   ()
17:30
Section 3. Bayesian Deep Learning - Nadya Chirkova (until 18:30) ()
17:30 Seminar: Bayesian Neural Networks - Training   ()
18:00 Bayesian Sparsification of Neural Networks   ()
13:00
Section X (until 14:00) ()
14:00
Section 3. Bayesian Deep Learning - Sergey Troshin (Institute for High Energy Physics of NRC Kurchatov Institute (R) (until 15:00) ()
15:00
Section 4. Generative models and networks - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 16:00) ()
16:00
Break (until 16:30) ()
16:30
Guest lectures - Fedor Ratnikov (Yandex School of Data Analysis (RU)) (until 18:30) ()
13:00
Section 4. Generative models and networks - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 14:00) ()
14:00
Section 4. Generative models and networks - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 15:00) ()
15:00
Section 4. Generative models and networks - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 16:00) ()
16:00 --- Break ---
16:30
Competition time (until 18:30) ()
13:00
Section X (until 15:00) ()
15:00
Section X (until 16:00) ()
13:00
Competition time (until 14:00) ()
14:00
Section 4. Generative models and networks (until 15:00) ()
15:00
Section 4. Generative models and networks (until 16:00) ()
16:00 --- Break ---
16:30
Section 4. Generative models and networks - Denis Derkach (National Research University Higher School of Economics (RU)) (until 18:00) ()
18:00
Competition time (until 18:30) ()
13:00
Socialization (until 14:00) ()
14:00
Section 5. Advanced Optimization Methods (until 15:00) ()
15:00
Section 5. Advanced Optimization Methods (until 16:00) ()
16:00 --- Break ---
16:30
Guest lectures - Evgeny Burnaev (until 17:30) ()
17:30
Guest lectures - Lukas Heinrich (until 18:30) ()
13:00
Section 5. Advanced Optimization Methods (until 14:00) ()
14:00
Guest lectures - Alex Fedorov (until 15:00) ()
15:00
Guest lectures - Lucio Andrelini (until 16:00) ()
16:00 --- Break ---
16:30
Guest lectures - Jan Kiesler (until 17:30) ()
17:30
Section 5. Advanced Optimization Methods (until 18:30) ()
13:00
Section X - Denis Derkach (National Research University Higher School of Economics (RU)) (until 14:00) ()
14:00
Socialization (until 15:00) ()
15:00
Competition time (until 16:00) ()
16:00 --- Break ---
16:30
Guest lectures - Mike Williams (until 17:30) ()
17:30
Guest lectures - Jan Kiesler (until 18:30) ()
13:00
Section X (until 14:00) ()
14:00
Section X (until 15:00) ()
15:00
Competition time (until 16:00) ()
16:00
Break (until 16:30) ()
16:30
Socialization - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 18:00) ()
18:00
Organisational - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 18:30) ()
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