generative models

KAUST Workshop on Distributed Training in the Era of Large Models

Nov 24 - 26, All day

Auditorium between B4 & 5, L0, R0215

machine learning Distributed algorithms generative models ML

Join leading researchers and innovators to explore how distributed training is reshaping the next generation of large-scale AI models.

Mapping Properties of Neural Networks and Inverse Problems

Prof. Matti Lassas, Applied Mathematics, University of Helsinki, Finland

Feb 12, 18:00 - 19:00

B1 L4 R4214

Neural Networks generative models

This talk will explore the injectivity and universal approximation properties of neural networks, focusing on one-to-one mappings and the approximation of probability measures using compositions of invertible flow networks and injective layers, with applications in inverse problems, imaging, and generative models.