EURO 2024 Copenhagen
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Session MC-34: Optimization and learning for data science and imaging (Part III) in stream Advances in large scale nonlinear optimization

Monday, 12:30-14:00
Room: 43 (building: 303A)

Session chair(s):

Simone Rebegoldi (simone.rebegoldi@unimore.it) Federica Porta (federica.porta@unimore.it) Elena Morotti (elena.morotti4@unibo.it) Alessandro Benfenati (alessandro.benfenati@unimi.it)

The following abstracts have been submitted in this session:

		2518. Real data EIT reconstruction using virtual X-rays and deep learning	Siiri Rautio [R] - Finland	accepted
		2516. Space-Variant Total Variation boosted by learning techniques for subsampled imaging problems	Davide Evangelista [R] - Italy	accepted
		3256. On stochastic first order optimization methods for deep learning applications	Federica Porta [R] - Italy	accepted
			Giorgia Franchini [] - Italy
			Valeria Ruggiero [] - Italy
			Ilaria Trombini [] - Italy
			Luca Zanni [] - Italy
		2694. Accelerating convergent Plug-and-Play methods	Andrea Sebastiani [R] - Italy	accepted
			Tatiana Bubba [] - United Kingdom
			Luca Ratti [] - Italy