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cs.LG2025
Quantum Geometry insights in Deep Learning
Noémie C. Combe
In this paper, we explore the fundamental role of the Monge-Ampère equation in deep learning, particularly in the context of Boltzmann machines and energy-based models. We first re…
cs.LG2019★ 22 cited
Mind2Mind : transfer learning for GANs
Yaël Frégier, Jean-Baptiste Gouray
Training generative adversarial networks (GANs) on high quality (HQ) images involves important computing resources. This requirement represents a bottleneck for the development of…