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Information Geometry of Wasserstein Divergence., and . GSI, volume 10589 of Lecture Notes in Computer Science, page 119-126. Springer, (2017)Information Geometry for Regularized Optimal Transport and Barycenters of Patterns., , , and . Neural Computation, 31 (5): 827-848 (2019)Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units., , and . Neural Networks, (2016)Concept Formation and Dynamics of Repeated Inference in Deep Generative Models., , and . CoRR, (2017)Information Geometry Connecting Wasserstein Distance and Kullback-Leibler Divergence via the Entropy-Relaxed Transportation Problem., , and . CoRR, (2017)Fisher Information and Natural Gradient Learning in Random Deep Networks., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 694-702. PMLR, (2019)Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel., , , , and . CoRR, (2022)Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces., , and . CoRR, (2018)Fisher Information and Natural Gradient Learning of Random Deep Networks., , and . CoRR, (2018)Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach., , and . CoRR, (2018)