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Mathematical Theory of Neural Learning.. ALT, page 3-20. Springer/Ohmsha, (1990)On Density Estimation under Relative Entropy Loss Criterion., and . Probl. Inf. Transm., 38 (4): 323-346 (2002)Neuroinformatics - Introduction., , and . Neural Networks, 16 (9): 1235-1236 (2003)Dualistic geometry of the manifold of higher-order neurons.. Neural Networks, 4 (4): 443-451 (1991)Blind signal separation and independent component analysis., , , , and . Neurocomputing, 49 (1-4): 1-5 (2002)Information geometry of statistical inference - an overview.. ITW, page 86-89. IEEE, (2002)New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation., , and . ICASSP (5), page 621-624. IEEE, (2006)Fisher Information and Natural Gradient Learning in Random Deep Networks, , and . Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 694--702. PMLR, (16--18 Apr 2019)Interpolating between Optimal Transport and MMD using Sinkhorn Divergences, , , , , and . Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 2681--2690. PMLR, (16--18 Apr 2019)Can Critical-Point Paths Under ℓp-Regularization (0<p<1) Reach the Sparsest Least Squares Solutions?, , and . IEEE Trans. Inf. Theory, 60 (5): 2960-2968 (2014)