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
Monday 8 July 2019
09:00
Lecture: Black-box optimization: Bayesian Optimization, Variational Optimization, Adversarial Optimization
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
Lecture: Black-box optimization: Bayesian Optimization, Variational Optimization, Adversarial Optimization
Maxim Borisyak
(
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: Tuning PYTHIA
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
Seminar: Tuning PYTHIA
Maxim Borisyak
(
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
Seminar: NN Hyper-parameter optimization, comet
-
Andrey Ustyuzhanin
(
Yandex School of Data Analysis (RU)
)
Seminar: NN Hyper-parameter optimization, comet
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
Lecture: Dark Machines
-
Sascha Caron
(
Nikhef National institute for subatomic physics (NL)
)
Lecture: Dark Machines
Sascha Caron
(
Nikhef National institute for subatomic physics (NL)
)
16:00 - 17:30
Room: SR4
17:30
Seminar: Independence of NN classifier from a continuous parameter
-
Miha Zgubic
(
University of Oxford (GB)
)
Seminar: Independence of NN classifier from a continuous parameter
Miha Zgubic
(
University of Oxford (GB)
)
17:30 - 19:00
Room: SR4
Tuesday 9 July 2019
09:00
Graph Network in High Energy Physics
-
Jean-Roch Vlimant
(
California Institute of Technology (US)
)
Graph Network in High Energy Physics
Jean-Roch Vlimant
(
California Institute of Technology (US)
)
09:00 - 10:30
Room: SR4
10:30
Coffee break
Coffee break
10:30 - 10:55
Room: SR4
10:55
Organizational info
-
Isabell Melzer-Pellmann
(
Deutsches Elektronen-Synchrotron (DE)
)
Organizational info
Isabell Melzer-Pellmann
(
Deutsches Elektronen-Synchrotron (DE)
)
10:55 - 11:00
Room: SR4
11:00
Lecture: Machine Learning and Computer Vision for Particle Imaging Detectors in Neutrino Experiments
-
KAZUHIRO TERAO
(
C
)
Kazuhiro Terao
(
SLAC National Accelerator Laboratory
)
Kazuhiro Terao
(
Columbia University
)
Lecture: Machine Learning and Computer Vision for Particle Imaging Detectors in Neutrino Experiments
KAZUHIRO TERAO
(
C
)
Kazuhiro Terao
(
SLAC National Accelerator Laboratory
)
Kazuhiro Terao
(
Columbia University
)
11:00 - 12:30
Room: SR4
12:30
Lunch break
Lunch break
12:30 - 13:30
Room: Canteen
13:30
Lecture: Probabilistic programming
-
Lukas Alexander Heinrich
(
CERN
)
Lecture: Probabilistic programming
Lukas Alexander Heinrich
(
CERN
)
13:30 - 14:45
Room: SR4
14:45
Seminar: Probabilistic programming
-
Lukas Alexander Heinrich
(
CERN
)
Seminar: Probabilistic programming
Lukas Alexander Heinrich
(
CERN
)
14:45 - 15:45
Room: SR4
15:45
Coffee break
Coffee break
15:45 - 16:15
Room: SR4
16:15
Lecture: Using Bayesian Framework to identify Risks in Project Management
-
Sanjay Basu
(
Oracle
)
Lecture: Using Bayesian Framework to identify Risks in Project Management
Sanjay Basu
(
Oracle
)
16:15 - 17:20
Room: SR4
19:00
Workshop dinner
Workshop dinner
19:00 - 22:00
Room: MS Commodore
Wednesday 10 July 2019
09:00
Machine Learning with Multiscale Dataflow Computing for High Energy Physics-1
-
Voss Nils
Machine Learning with Multiscale Dataflow Computing for High Energy Physics-1
Voss Nils
09:00 - 10:30
Room: SR4
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: SR4
11:00
Machine Learning with Multiscale Dataflow Computing for High Energy Physics-2
-
Nils Voss
Machine Learning with Multiscale Dataflow Computing for High Energy Physics-2
Nils Voss
11:00 - 12:30
Room: SR4
12:30
School wrap up
-
Andrey Ustyuzhanin
(
Yandex School of Data Analysis (RU)
)
School wrap up
Andrey Ustyuzhanin
(
Yandex School of Data Analysis (RU)
)
12:30 - 13:00
Room: SR4