Bachar, M. (2026). Deep Learning-Based Residual Augmentation of Neural ODE Approximations: Rollout Error Propagation, Contraction Diagnostics, and CRN Case Study. Mathematics (2227-7390), 14(12), 2147. https://doi.org/10.3390/math14122147
Chicago Style (17th ed.) CitationBachar, Mostafa. "Deep Learning-Based Residual Augmentation of Neural ODE Approximations: Rollout Error Propagation, Contraction Diagnostics, and CRN Case Study." Mathematics (2227-7390) 14, no. 12 (2026): 2147. https://doi.org/10.3390/math14122147.
MLA (9th ed.) CitationBachar, Mostafa. "Deep Learning-Based Residual Augmentation of Neural ODE Approximations: Rollout Error Propagation, Contraction Diagnostics, and CRN Case Study." Mathematics (2227-7390), vol. 14, no. 12, 2026, p. 2147, https://doi.org/10.3390/math14122147.