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Regular version of the site
Article
Freak wave events in 2005–2021: statistics and analysis of favourable wave and wind conditions

Ekaterina Didenkulova, Didenkulova I., Medvedev I.

Natural Hazards and Earth System Sciences. 2023. Vol. 23. P. 1653-1663.

Book chapter
Bringing Explainability to Model Deployment Pipeline in Deep Learning Workbench

Demidovskij A., Savina T., Suvorov A. et al.

In bk.: Proceedings of Seventh International Congress on Information and Communication Technology. ICICT 2022, London, Volume 2. Vol. 2. Springer, 2023. P. 785-794.

Webinar 'Diving into generative diffusion models'

Event ended
Master of computer vision program`s partner from SBERLAB – Andrey Kuznetsov, guided the master course  "Deep Generative Models" will cover at the meeting the most actual and useful topics from the current course

During the lecture we will first discuss existing text2image generation approaches. Further we will go into details of diffusion models and how they can be used to generate images in latent space.

Finally, we will show you the list of creative ideas and applications, where diffusion models can be used.

When: April, 13
Time: 19:00
WEBINAR RU

 

Registration is needed