Conveners
Section 4. Generative models and networks: Autoencoders
- Artem Ryzhikov (National Research University Higher School of Economics (RU))
Section 4. Generative models and networks: GANs
- Nikita Kazeev (Yandex School of Data Analysis (RU))
Section 4. Generative models and networks: Advanced GANs
- Nikita Kazeev (Yandex School of Data Analysis (RU))
Section 4. Generative models and networks: Flow models
- Artem Ryzhikov (National Research University Higher School of Economics (RU))
Section 4. Generative models and networks: Invertible Generative Models
- There are no conveners in this block
Section 4. Generative models and networks: Seminar: Practice on basic generative models
- Nikita Kazeev (Yandex School of Data Analysis (RU))
Section 4. Generative models and networks: Generative models
- Nikita Kazeev (Yandex School of Data Analysis (RU))
Section 4. Generative models and networks: Introduction to distances Pt. 1
- Vladislav Belavin (Yandex School of Data Analysis (RU))
Section 4. Generative models and networks: Introduction to distances Pt. 2
- Vladislav Belavin (Yandex School of Data Analysis (RU))
Section 4. Generative models and networks: Seminar: Distances Pt. 1
- Vladislav Belavin (Yandex School of Data Analysis (RU))
Section 4. Generative models and networks: Seminar: Distances Pt. 2
- Vladislav Belavin (Yandex School of Data Analysis (RU))
