Fifth Machine Learning in High Energy Physics Summer School 2019

from Monday 1 July 2019 (07:30) to Wednesday 10 July 2019 (18:30)
DESY (SR4)

        : Sessions
    /     : Talks
        : Breaks
1 Jul 2019
2 Jul 2019
3 Jul 2019
4 Jul 2019
5 Jul 2019
6 Jul 2019
7 Jul 2019
8 Jul 2019
9 Jul 2019
10 Jul 2019
AM
09:00
Organisational - Miha Zgubic (University of Oxford (GB)) Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 09:10)
09:00 'Welcome to MLHEP' Opening Words - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))  
09:15
Lectures - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 10:45) (SR 4 a/b)
09:15 Big Picture: AI/ML in HEP and in the wild - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))  
10:45 --- Coffee break ---
11:15
Lecture - Alexey Artemov (Yandex) (until 12:45) (SR 4 a/b)
11:15 Lecture: Linear models, regression classification - Alexey Artemov (Yandex)  
09:00 Lecture: Decision tree-based models - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))  
10:30 --- Coffee break ---
11:00 Seminar: Ensembles of models; bagging, boosting, random forest - Nikita Kazeev (Yandex School of Data Analysis (RU))  
09:00 Lecture: Introduction into Neural Network models; Multi-layered Perceptron; Backpropagation - Alexander Panin (Yandex School of Data Analysis (RU))  
10:30 --- Coffee break ---
11:00 Seminar: Computing gradient by hand. Pytorch. - Alexander Panin (Yandex School of Data Analysis (RU))  
09:00 Bayesian methods 1 - Dr Ekaterina Lobacheva  
10:30 --- Coffee break ---
11:00 Bayesian methods 2 - Dr Ekaterina Lobacheva  
09:00
Lecture - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 10:30)
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 ---
11:00
Seminar - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 13:00)
11:00 Seminar: Learning to pivot - Maxim Borisyak (Yandex School of Data Analysis (RU))  
09:00 Lecture: Causal inference - Evgeniy Riabenko  
10:30 --- Coffee break ---
11:00 Seminar: Causal inference - Evgeniy Riabenko  
09:00 Lecture: Black-box optimization: Bayesian Optimization, Variational Optimization, Adversarial Optimization - Maxim Borisyak (Yandex School of Data Analysis (RU))  
10:30 --- Coffee break ---
11:00 Seminar: Tuning PYTHIA - Maxim Borisyak (Yandex School of Data Analysis (RU))  
09:00 Graph Network in High Energy Physics - Dr Jean-Roch Vlimant (California Institute of Technology (US))  
10:30 --- Coffee break ---
10:55 Organizational info - Isabell Melzer-Pellmann (Deutsches Elektronen-Synchrotron (DE))  
11:00 Lecture: Machine Learning and Computer Vision for Particle Imaging Detectors in Neutrino Experiments - KAZUHIRO TERAO (C) Dr Kazuhiro Terao (SLAC National Accelerator Laboratory) Dr Kazuhiro Terao (Columbia University)  
09:00 Machine Learning with Multiscale Dataflow Computing for High Energy Physics-1 - Voss Nils  
10:30 --- Coffee break ---
11:00 Machine Learning with Multiscale Dataflow Computing for High Energy Physics-2 - Nils Voss  
PM
12:45
Organisational (until 14:00)
14:00
Seminar - Alexey Artemov (Yandex) (until 15:30)
14:00 Seminar: Figures of Merit, overfitting (MLE vs MAP vs AP) - Dr Alexey Artemov (Skoltech, HSE)  
15:30 --- Coffee break ---
16:00
Practice -Mr Vladislav Belavin (Yandex School of Data Analysis (RU)) (until 17:00)
16:00 Competition Introduction - Vladislav Belavin (Yandex School of Data Analysis (RU))  
18:00 --- Welcome reception ---
13:00
Organisational (until 14:00)
14:00 Lecture: Unsupervised Machine Learning - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))  
15:30 --- Coffee break ---
16:00 Seminar: Clustering - Mikhail Hushchyn  
18:00 Competition time  
13:00 --- Lunch break ---
14:00 Lecture: Intro to Deep learning; Convolutional Neural Networks - Alexander Panin (Yandex School of Data Analysis (RU))  
15:30 --- Coffee break ---
16:00 Seminar: Image recognition using convolutional neural networks - Alexander Panin (Yandex School of Data Analysis (RU))  
18:00 Competition time  
13:00
Organisational (until 14:00)
14:00 Bayesian neural networks 1 - Dr Nadezhda Chirkova  
15:30 --- Coffee break ---
16:00 Bayesian neural networks 2 - Dr Nadezhda Chirkova  
17:30 Lecture: Likelihood free inference - Dr Gilles Louppe (New York University (US))  
13:00
Organisational (until 14:00)
14:00 Lecture: Sequence Modelling - Dr Ekaterina Artemova  
15:20 --- Coffee break ---
15:40 Seminar: RNN: GRU + LSTM + Jet recognition - Dr Ekaterina Artemova  
17:15
Seminar - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 18:15)
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))  
13:00 --- Lunch - there will be "Belegte Brötchen" (baked rolls) in front of SR 4 a/b ---
14:00 Lecture: GAN advanced topics: WGAN, Cramer GAN - Dr Artem Maevskiy (National Research University Higher School of Economics (RU))  
15:30 --- Coffee break ---
15:55 DIRC-GAN - Nikita Kazeev (Yandex School of Data Analysis (RU))  
17:00 Evening event: Artificial intelligence: Past, Present and Future   (Auditorium)
13:00 --- Lunch break ---
14:00 Seminar: NN Hyper-parameter optimization, comet - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))  
15:30 --- Coffee break ---
16:00 Lecture: Dark Machines - Sascha Caron (Nikhef National institute for subatomic physics (NL))  
17:30 Seminar: Independence of NN classifier from a continuous parameter - Miha Zgubic (University of Oxford (GB))  
12:30 --- Lunch break ---
13:30 Lecture: Probabilistic programming - Lukas Alexander Heinrich (CERN)  
14:45 Seminar: Probabilistic programming - Lukas Alexander Heinrich (CERN)  
15:45 --- Coffee break ---
16:15 Lecture: Using Bayesian Framework to identify Risks in Project Management - Sanjay Basu (Oracle)  
19:00 --- Workshop dinner ---
12:30 School wrap up - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))