EUROPT 2024
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Session FD-7: Optimal Transport for Machine Learning and Inverse Problems in stream Optimization for Inverse Problems and Machine Learning

Friday, 14:10 - 15:50
Room: M:I

Session chair(s):

Cheik Traoré (temci76@gmail.com)

The following abstracts have been submitted in this session:

		328. Gradient flows and kernelization in the Hellinger-Kantorovich (a.k.a. Wasserstein-Fisher-Rao) space	Jia-Jie Zhu [] - Germany	accepted
		329. Learning Total-Variation Regularization Parameters via Weak Optimal Transport	Enis Chenchene [] - Austria	accepted
			Kristian Bredies [] - Austria
		334. An Optimal Transport-based approach to Total-Variation regularization for the Diffusion MRI problem	Rodolfo Assereto [] - Austria	accepted
		337. Application of the Opial property in Wasserstein spaces to inexact JKO schemes	Emanuele Naldi [] - Italy	accepted