Meetings and seminars
Meetinig with Nikita Zhivotovskiy, alumnus of the MIPT Department of Intelligent Systems, 2013
Guest: Nikita Zhivotovskiy is a candidate of physical and mathematical sciences. He is a researcher at Google Research, Zürich.
Meeting with Kirill Pavlov, alumnus of the MIPT Department of Intelligent Systems, 2012
Guest: Kirill Pavlov is an alumnus, 2012, researcher.
Meeting with Roman Sologub, alumnus of the MIPT Department of Intelligent Systems, 2010
Guest: Roman Sologub
Roman Sologub is a candidate of physical and mathematical sciences. He is a financial analyst from London.
Meeting with alumni of the MIPT Department of Intelligent Systems, 2013
Guests: Mikhail Kuznetsov, Nikita Ivkin
The alumni of the department are engaged in research in the field of machine learning and data analysis in large commercial companies.
- Mikhail Kuznetsov: candidate of physical and mathematical sciences, MIPT, researcher at Yahoo and Amazon
- Nikita Ivkin: PhD Johns Hopkins University, researcher at Amazon
Prior Distribution of Parameters in Deep Learning Model Selection Problem
Speaker: Andrey Grabovoy
The seminar is devoted to deep learning model distillation. We discuss the alignment of the structures of teacher and student models. Bayesian inference is used to optimize student parameters. We give an examples of distillation fully connected and recurrent neural networks as models of a teacher and a student.
Dimension Reduction in Signal Decoding Problems
Speaker: Roman Isachenko
The seminar is devoted to the problem of reducing the dimension of space when solving the problem of signal decoding. The decoding process consists in restoring the relationship between two heterogeneous datasets. A feature of the problem is the presence of hidden dependencies not only in the source signals, but also in the target ones. We propose dimension reduction methods that allow using dependencies in the source and target spaces.
Uncertainty, Out-of-distribution detection for NNs
Speaker: Maxim Panov
Maxim Panov (Associate Professor at Skoltech) will tell at the seminar what Uncertainty is in Bayesian inference.
Roman Isachenko, 2021
Oleg Bakhteev, 2020
Anastasia Motrenko, 2019
Alexander Aduenko, 2017
Arsentiy Kuzmin, 2017
Master’s and Bachelor’s defences
Bachelor’s defences, 2022
Students: Konstantin Yakovlev, Maria Gorpinich, Antonina Kurdyukova, Vyacheslav Gorсhakov, Anton Pilkevich, Maxim Khristolybov
Master’s defences, 2022
Students: Petr Mokrov, Natalia Varenik, Alexey Grigoriev, Sviatoslav Panchenko, Pavel Severilov, Denis Tikhonov, Alexander Kolesov, Alexey Grishanov
Bachelor’s defences, 2021
Students: Drmitriy Kovalev, Anton Bishuk, Kirill Vayser, Olga Grebenkova, Ruslan Gunaev, Vladimir Zholobov, Rustem Islamov, Victor Pankratov, Nikolay Saveliev, Andrey Filatov, Anastasia Filippova, Aleksandra Khar, Vyacheslav Shokorov, Tagir Sattarov
Master’s defences, 2021
Students: Egor Gladin, Andrey Grabovoy, Vadim Kislinskiy, Evgeniy Kozlinskiy, Grigory Malinovsky, Egor Shulgin, Vasiliy Novitskiy, Anna Rogozina, Nikita Pletnev, Alina Samokhina, Tamaz Gadaev, Gleb Morgachev