Implementation of "Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel"
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Updated
Jun 19, 2024 - Jupyter Notebook
Implementation of "Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel"
Convergence-theoretic reformulation of the Hodge Conjecture for K3 surfaces, with flow-based projection methods, numerical experiments, and symbolic generalizations to abelian varieties and Calabi–Yau threefolds.
Describe your numerical experiments
Work for Python Tkinter GUI application for numerical experiments of the dynamics of an isolated qubit. Versions 1 and 1.2.
A MATLAB toolkit of benchmark functions for numerical experiments of optimization.
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