1. Absil, P -A, Gallivan, KA: Joint Diagonalization on the Oblique manifold for independent component analysis. In: 2006 IEEE international conference on acoustics speech and signal processing proceedings, vol. 5, pp V–V. IEEE (2006)
2. Absil, P-A, Mahony, R, Sepulchre, R: Optimization algorithms on matrix manifolds. Princeton University Press, Princeton (2009)
3. Arjovsky, M, Shah, A, Bengio, Y: Unitary evolution recurrent neural networks. In: International conference on machine learning. PMLR, pp 1120–1128 (2016)
4. de Andrade Bortoloti, MA, Fernandes, TA, Ferreira, OP: On the globalization of Riemannian Newton method. arXiv:2008.06557 (2020)
5. Boumal, N, Absil, P-A: RTRMC: A Riemannian Trust-region method for low-rank matrix completion. Adv Neural Inform Process Syst 24, 406–414 (2011)