Funder
California Institute of Technology
Multidisciplinary University Research Initiative
Publisher
Springer Science and Business Media LLC
Reference45 articles.
1. Amari, S.: Natural gradient works efficiently in learning. Neural Comput. 10(2), 251–276 (1998)
2. Amari, S.: Information Geometry and Its Applications, vol. 194. Springer, Berlin (2016)
3. Amari, S., Cichocki, A.: Adaptive blind signal processing-neural network approaches. Proc. IEEE 86(10), 2026–2048 (1998)
4. Amari, S., Karakida, R., Oizumi, M.: Information geometry connecting Wasserstein distance and Kullback–Leibler divergence via the entropy-relaxed transportation problem. Inf. Geom. 1(1), 13–37 (2018)
5. Ambrosio, L., Gigli, N., Savaré, G.: Gradient Flows: In: Metric Spaces and in the Space of Probability Measures. Birkhäuser Basel, Basel (2005)
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献