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Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators., , , , , and . NeurIPS, (2020)The Software Defined Media Ontology for Music Events., , , , , , , and . SAAM@ISWC, page 15-23. ACM, (2018)Chip-Level Performance Improvement Using Triple Damascene Wiring Design Concept for the 0.13 µm CMOS Generation and Beyond., , , , , , and . IEICE Trans. Electron., 89-C (11): 1544-1550 (2006)Constructive Universal Approximation Theorems for Deep Joint-Equivariant Networks by Schur's Lemma., , , and . CoRR, (2024)Autonomous Wheeled Locomotion on Irregular Terrain with Tactile Sensing., , , , and . CLAWAR, volume 530 of Lecture Notes in Networks and Systems, page 107-118. Springer, (2022)Universal Approximation Property of Neural Ordinary Differential Equations., , , , and . CoRR, (2020)Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator., , and . CoRR, (2023)Koopman Spectrum Nonlinear Regulators and Efficient Online Learning., , , , , and . Trans. Mach. Learn. Res., (2024)Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise., , , , and . J. Mach. Learn. Res., (2020)Analysis of the energy flow on quadruped robot having a flexible trunk joint., and . ROBIO, page 1065-1071. IEEE, (2015)