Publisher
Springer Nature Switzerland
Reference20 articles.
1. Ackley, D.H., Hinton, G.E., Sejnowski, T.J.: A learning algorithm for Boltzmann machines. Cogn. Sci. 9(1), 147–169 (1985)
2. Barbaresco, F.: Lie group statistics and Lie group machine learning based on Souriau Lie groups thermodynamics and Koszul-Souriau-Fisher metric: new entropy definition as generalized Casimir invariant function in coadjoint representation. Entropy 22(6), 642 (2020)
3. Chaudhari, P., Soatto, S.: Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks. In: 2018 Information Theory and Applications Workshop (ITA), pp. 1–10 (2018)
4. Chaudhari, P., et al.: Entropy-sgd: biasing gradient descent into wide valleys. In: International Conference on Learning Representations ICLR 2017, 1611.01838 (2017)
5. Fioresi, R., Faglioni, F., Morri, F., Squadrani, L.: On the thermodynamic interpretation of deep learning systems. In: Geometric Science of Information: 5th International Conference (2021)