References

[1]
B. Brantner. Generalizing Adam To Manifolds For Efficiently Training Transformers, arXiv preprint arXiv:2305.16901 (2023). ↩1 ↩2 ↩3 ↩4 ↩5 ↩6
[2]
L. Deng. The mnist database of handwritten digit images for machine learning research. IEEE Signal Processing Magazine 29, 141–142 (2012). ↩1
[3]
T. Besard, C. Foket and B. De Sutter. Effective Extensible Programming: Unleashing Julia on GPUs. IEEE Transactions on Parallel and Distributed Systems (2018), arXiv:1712.03112 [cs.PL]. ↩1
[4]
P. Buchfink, S. Glas and B. Haasdonk. Symplectic model reduction of Hamiltonian systems on nonlinear manifolds and approximation with weakly symplectic autoencoder. SIAM Journal on Scientific Computing 45, A289–A311 (2023). ↩1