Seventh Machine Learning in High Energy Physics Summer School 2021

Session

Section 4. Generative models and networks

22 Jul 2021, 15:00

Zoom

Conveners

Section 4. Generative models and networks: Advanced GANs

• There are no conveners in this block

Section 4. Generative models and networks: GANs

• There are no conveners in this block

Section 4. Generative models and networks: Seminar Flow models

• Denis Derkach (National Research University Higher School of Economics (RU))

Section 4. Generative models and networks: Practice on AE

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Section 4. Generative models and networks: Distances seminar Pt. 2

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Section 4. Generative models and networks: Distances seminar Pt. 1

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Section 4. Generative models and networks: Seminar: Practice on basic generative models

• Nikita Kazeev (Yandex School of Data Analysis (RU))

157. Advanced GANs

153. Autoencoders

159. Flow models

155. GANs

161. Invertible Generative Models

158. Seminar: Advanced GANs

160. Seminar: Flow models

156. Seminar: GANs

162. Seminar: Invertible Generative Practice

154. Seminar: Practice on AE