Name: Fifth Machine Learning in High Energy Physics Summer School 2019
Start: 2019-07-01T07:30:00+02:00
End: 2019-07-10T18:30:00+02:00
Location: DESY

Fifth Machine Learning in High Energy Physics Summer School 2019

from Monday 1 July 2019 (07:30) to Wednesday 10 July 2019 (18:30)

Monday 1 July 2019
09:00 Opening words
Opening words
09:00 - 09:10
Room: SR4
Contributions

09:00 'Welcome to MLHEP' Opening Words - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
09:15 Introduction: Probability, MLE vs MAP, Inference
Introduction: Probability, MLE vs MAP, Inference
09:15 - 10:45
Room: SR 4 a/b
Contributions

09:15 Big Picture: AI/ML in HEP and in the wild - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
10:45 Coffee break
Coffee break
10:45 - 11:15
Room: SR4
11:15 Linear models, regression classification
Linear models, regression classification
11:15 - 12:45
Room: SR 4 a/b
Contributions

11:15 Lecture: Linear models, regression classification - Alexey Artemov (Yandex)
12:45 Lunch
Lunch
12:45 - 14:00
Room: SR4
14:00 Figures of Merit, overfitting (MLE vs MAP vs AP)
Figures of Merit, overfitting (MLE vs MAP vs AP)
14:00 - 15:30
Room: SR4
Contributions

14:00 Seminar: Figures of Merit, overfitting (MLE vs MAP vs AP) - Alexey Artemov (Skoltech, HSE)
15:30 Coffee break
Coffee break
15:30 - 16:00
Room: SR4
16:00 Competition Introduction
Competition Introduction
16:00 - 17:00
Room: SR4
Contributions

16:00 Competition Introduction - Vladislav Belavin (Yandex School of Data Analysis (RU))
18:00 Welcome reception
Welcome reception
18:00 - 20:05
Room: Canteen Extension
Tuesday 2 July 2019
09:00 Lecture: Decision tree-based models - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
Lecture: Decision tree-based models
- Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
09:00 - 10:30
Room: SR4
10:30 Coffee break
Coffee break
10:30 - 11:00
Room: SR4
11:00 Seminar: Ensembles of models; bagging, boosting, random forest - Nikita Kazeev (Yandex School of Data Analysis (RU))
Seminar: Ensembles of models; bagging, boosting, random forest
- Nikita Kazeev (Yandex School of Data Analysis (RU))
11:00 - 13:00
Room: SR4
13:00 Lunch
Lunch
13:00 - 14:00
Room: SR4
14:00 Lecture: Unsupervised Machine Learning - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
Lecture: Unsupervised Machine Learning
- Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
14:00 - 15:30
Room: SR4
15:30 Coffee break
Coffee break
15:30 - 16:00
Room: SR4
16:00 Seminar: Clustering - Mikhail Hushchyn
Seminar: Clustering
- Mikhail Hushchyn
16:00 - 18:00
Room: SR4
18:00 Competition time
Competition time
18:00 - 19:00
Room: SR4
Wednesday 3 July 2019
09:00 Lecture: Introduction into Neural Network models; Multi-layered Perceptron; Backpropagation - Alexander Panin (Yandex School of Data Analysis (RU))
Lecture: Introduction into Neural Network models; Multi-layered Perceptron; Backpropagation
- Alexander Panin (Yandex School of Data Analysis (RU))
09:00 - 10:30
Room: SR4
10:30 Coffee break
Coffee break
10:30 - 11:00
Room: SR4
11:00 Seminar: Computing gradient by hand. Pytorch. - Alexander Panin (Yandex School of Data Analysis (RU))
Seminar: Computing gradient by hand. Pytorch.
- Alexander Panin (Yandex School of Data Analysis (RU))
11:00 - 13:00
Room: SR4
13:00 Lunch break
Lunch break
13:00 - 14:00
Room: Canteen
14:00 Lecture: Intro to Deep learning; Convolutional Neural Networks - Alexander Panin (Yandex School of Data Analysis (RU))
Lecture: Intro to Deep learning; Convolutional Neural Networks
- Alexander Panin (Yandex School of Data Analysis (RU))
14:00 - 15:30
Room: SR4
15:30 Coffee break
Coffee break
15:30 - 16:00
Room: SR4
16:00 Seminar: Image recognition using convolutional neural networks - Alexander Panin (Yandex School of Data Analysis (RU))
Seminar: Image recognition using convolutional neural networks
- Alexander Panin (Yandex School of Data Analysis (RU))
16:00 - 18:00
Room: SR4
18:00 Competition time
Competition time
18:00 - 19:00
Room: SR4
Thursday 4 July 2019
09:00 Bayesian methods 1 - Ekaterina Lobacheva
Bayesian methods 1
- Ekaterina Lobacheva
09:00 - 10:30
Room: SR4
10:30 Coffee break
Coffee break
10:30 - 11:00
Room: SR4
11:00 Bayesian methods 2 - Ekaterina Lobacheva
Bayesian methods 2
- Ekaterina Lobacheva
11:00 - 13:00
Room: SR4
13:00 Lunch
Lunch
13:00 - 14:00
Room: SR4
14:00 Bayesian neural networks 1 - Nadezhda Chirkova
Bayesian neural networks 1
- Nadezhda Chirkova
14:00 - 15:30
Room: SR4
15:30 Coffee break
Coffee break
15:30 - 16:00
Room: SR4
16:00 Bayesian neural networks 2 - Nadezhda Chirkova
Bayesian neural networks 2
- Nadezhda Chirkova
16:00 - 17:30
Room: SR4
17:30 Lecture: Likelihood free inference - Gilles Louppe (New York University (US))
Lecture: Likelihood free inference
- Gilles Louppe (New York University (US))
17:30 - 19:00
Room: SR4
Friday 5 July 2019
09:00 Generative Models (GM); GMM; Probability density estimation (kernel, fitting); RBM; JS GAN; pivot
Generative Models (GM); GMM; Probability density estimation (kernel, fitting); RBM; JS GAN; pivot
09:00 - 10:30
Room: SR4
Contributions

09:00 Lecture: Generative Models (GM); GMM; Probability density estimation (kernel, fitting); RBM; JS GAN; pivot - Maxim Borisyak (Yandex School of Data Analysis (RU))
10:30 Coffee break
Coffee break
10:30 - 11:00
Room: SR4
11:00 Learning to pivot
Learning to pivot
11:00 - 13:00
Room: SR4
Contributions

11:00 Seminar: Learning to pivot - Maxim Borisyak (Yandex School of Data Analysis (RU))
13:00 Lunch
Lunch
13:00 - 14:00
Room: SR4
14:00 Lecture: Sequence Modelling - Ekaterina Artemova
Lecture: Sequence Modelling
- Ekaterina Artemova
14:00 - 15:20
Room: SR4
15:20 Coffee break
Coffee break
15:20 - 15:40
Room: SR4
15:40 Seminar: RNN: GRU + LSTM + Jet recognition - Ekaterina Artemova
Seminar: RNN: GRU + LSTM + Jet recognition
- Ekaterina Artemova
15:40 - 17:10
Room: SR4
17:15 NN interpretation. Tips & tweaks.
NN interpretation. Tips & tweaks.
17:15 - 18:15
Room: SR4
Contributions

17:15 Seminar: NN interpretation. Tips & tweaks. - Alexander Panin (Yandex School of Data Analysis (RU)) Maxim Borisyak (Yandex School of Data Analysis (RU))
18:15 Competition 2 intro + Competition seminar - Vladislav Belavin (Yandex School of Data Analysis (RU))
Competition 2 intro + Competition seminar
- Vladislav Belavin (Yandex School of Data Analysis (RU))
18:15 - 19:15
Room: SR4
Saturday 6 July 2019
09:00 Lecture: Causal inference - Evgeniy Riabenko
Lecture: Causal inference
- Evgeniy Riabenko
09:00 - 10:30
Room: SR4
10:30 Coffee break
Coffee break
10:30 - 11:00
Room: SR4
11:00 Seminar: Causal inference - Evgeniy Riabenko
Seminar: Causal inference
- Evgeniy Riabenko
11:00 - 13:00
Room: SR4
13:00 Lunch - there will be "Belegte Brötchen" (baked rolls) in front of SR 4 a/b
Lunch - there will be "Belegte Brötchen" (baked rolls) in front of SR 4 a/b
13:00 - 14:00
Room: SR4
14:00 Lecture: GAN advanced topics: WGAN, Cramer GAN - Artem Maevskiy (National Research University Higher School of Economics (RU))
Lecture: GAN advanced topics: WGAN, Cramer GAN
- Artem Maevskiy (National Research University Higher School of Economics (RU))
14:00 - 15:30
Room: SR4
15:30 Coffee break
Coffee break
15:30 - 15:55
Room: SR4
15:55 DIRC-GAN - Nikita Kazeev (Yandex School of Data Analysis (RU))
DIRC-GAN
- Nikita Kazeev (Yandex School of Data Analysis (RU))
15:55 - 17:20
Room: SR4
Sunday 7 July 2019

17:00 Evening event: Artificial intelligence: Past, Present and Future
Evening event: Artificial intelligence: Past, Present and Future
17:00 - 20:00
Room: Auditorium

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