References
- Améndola, C. and Schmitz, L. (2025). Learning Barycenters from Signature Matrices, preprint arXiv:2509.07815.
- Améndola, C.; Friz, P. and Sturmfels, B. (2019). Varieties of signature tensors. Forum of Mathematics, Sigma 7.
- Améndola, C.; Lotter, F. and Schmitz, L. (2026). Signature Varieties of Splines, preprint arXiv:2602.13011, arXiv:2602.13011 [math.AG].
- Améndola, C.; Riffo, G. and Schmitz, L. (2026+). Signature varieties of membranes, in preparation.
- Chen, K.-T. (1957). Integration of paths, geometric invariants and a generalized Baker–Hausdorff formula. Annals of Mathematics 65, 163–178.
- Chen, K.-T. (1977). Iterated path integrals. Bulletin of the American Mathematical Society 83, 831–879.
- Chevyrev, I. and Kormilitzin, A. (2026). A Primer on the Signature Method in Machine Learning. In: Signature Methods in Finance: An Introduction with Computational Applications (Springer Nature Switzerland, Cham); pp. 3–64.
- Chevyrev, I.; Nanda, V. and Oberhauser, H. (2018). Persistence paths and signature features in topological data analysis. IEEE transactions on pattern analysis and machine intelligence 42, 192–202.
- Clausel, M.; Diehl, J.; Mignot, R.; Schmitz, L.; Sugiura, N. and Usevich, K. (2024). The Barycenter in Free Nilpotent Lie Groups and Its Application to Iterated-Integrals Signatures. SIAM Journal on Applied Algebra and Geometry 8, 519–552.
- Cuchiero, C.; Gazzani, G.; Möller, J. and Svaluto-Ferro, S. (2026). Signature-Based Models in Finance. In: Signature Methods in Finance: An Introduction with Computational Applications (Springer Nature Switzerland, Cham); pp. 227–264.
- Friz, P. K. and Victoir, N. B. (2010). Multidimensional stochastic processes as rough paths: theory and applications. Vol. 120 (Cambridge University Press).
- Friz, P. K. and Hairer, M. (2020). A Course on Rough Paths (Springer).
- Lotter, F. and Schmitz, L. (2026). Signature matrices of membranes. Algebraic Statistics 17, 75–99.
- Lyons, T. J.; Caruana, M. and Lévy, T. (2007). Differential equations driven by rough paths: Ecole d'Eté de Probabilités de Saint-Flour XXXIV-2004 (Springer).
- Lyons, T. J. (1998). Differential equations driven by rough signals. Revista Matemática Iberoamericana 14, 215–310.
- Lyons, T. J. and Qian, Z. (2002). System Control and Rough Paths (Oxford University Press).
- Pfeffer, M.; Seigal, A. and Sturmfels, B. (2019). Learning paths from signature tensors. SIAM Journal on Matrix Analysis and Applications 40, 394–416.
- Schmitz, L. (2025). An Efficient Algorithm for Tensor Learning, preprint arXiv:2512.14218, arXiv:2512.14218 [math.RA].