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SUMMARY:AI Center Seminar - AI Fundamentals series - Prof. Zafer Doğan
DTSTART:20250714T160000
DTEND:20250714T170000
DTSTAMP:20260427T201925Z
UID:dc525ecc596420f40c11d722960d947fb2ebddd719b50ff15a07e2ac
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Zafer Doğan\nThe talk is jointly organized by the EPF
 L AI Center as part of the AI fundamentals seminar series.\n\nHosting pro
 fessor: Prof. Pascal Frossard\, EPFL AI Center Co-Academic Director\n\nTit
 le:\nLearning Dynamics of Generative Models in High-Dimensional (Subspace)
  Learning\n\nAbstract:\nUnderstanding the training behavior of generative 
 models in high-dimensional settings is crucial for improving their general
 ization and stability. In this talk\, I will present a theoretical analysi
 s of the learning dynamics of overparameterized generative models trained 
 via stochastic gradient descent\, focusing on the emergence of low-dimensi
 onal structure and spectral bias. I’ll also discuss implications for gen
 eralization and connections with recent empirical phenomena observed in de
 ep learning.\n\nBio:\nZafer Doğan is an assistant professor at Koç Unive
 rsity in Istanbul. He received his PhD from EPFL in 2015 under the supervi
 sion of Prof. Dimitri Van De Ville and Prof. Thierry Blu. Before joining K
 oç University\, he was a postdoctoral researcher at Harvard University wi
 th Prof. Yue Lu. His research focuses on the theoretical foundations of ma
 chine learning\, with particular emphasis on high-dimensional learning\, g
 eneralization\, and overparameterized models.
LOCATION:ELE 117 https://plan.epfl.ch/?room==ELE%20117
STATUS:CONFIRMED
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