Papers

1. Artificial neural networks on graded vector spaces, T. Shaska

2. Diagrammatics of Information, Mee Seong Im, Clement Kam, Caden Pici

3. Polynomials, Galois theory, and machine learning, T. Shaska

4. Machine Learning and Julia reduction, I. Kotsireas, T. Shaska

5.