Title |
|---|
 Universal Approximation Theorem for Vector- and Hypercomplex-Valued
Neural NetworksNeural Networks (NN), 2024 |
 Understanding Vector-Valued Neural Networks and Their Relationship with
Real and Hypercomplex-Valued Neural NetworksIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2023 |
 Spherical Fourier Neural Operators: Learning Stable Dynamics on the
SphereInternational Conference on Machine Learning (ICML), 2023 |
 Universal approximation with complex-valued deep narrow neural networksConstructive approximation (Constr. Approx.), 2023 |
 Theoretical Exploration of Flexible Transmitter ModelIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 |
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 Quantitative approximation results for complex-valued neural networksSIAM Journal on Mathematics of Data Science (SIMODS), 2021 |
