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Pullback Riemannian Metric for Generative Models
A comprehensive exploration of pullback Riemannian metrics in generative models, detailing their theoretical foundations, computational strategies, and practical applications in machine learning.
Pushforward Measure and Probability Transport in Flow Models
An in-depth analysis of pushforward measure and probability transport in flow models, contrasting them with pullback metrics and elucidating their roles in generative modeling.