Deep Generative Models D
Aalto University
<p>Fundamental and current topics of generative modeling and uncertainty quantification. Both methodological and implementing aspects are part of the course contents. </p><p>Topics include</p><ul><li>Monte Carlo methods</li><li>Divergence measures</li><li>Variational inference and autoencoders</li><li>Deep state-space models</li><li>Diffusion models</li><li>Generative Adversarial Networks (GANs)</li></ul>
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Course dates
23 February 2026 - 05 June 2026
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Course organizer
Harri Lähdesmäki, Lauri Juvela
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Place/Venue
School of Electrical Engineering / Department of lnformation and Communications Engineering
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City
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Country
Finland
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Workload
5
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Link
https://mycourses.aalto.fi/course/search.php?...
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