3 papers
cs.LG2026
Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial
Tiago Closs, Leandro Farina
We investigate the extent to which totally positive matrices can be distinguished through the highest-order coefficients of their characteristic polynomials. To identify the most i…
physics.ao-ph2025
Artificial neural networks ensemble methodology to predict significant wave height
Felipe Crivellaro Minuzzi, Leandro Farina
The forecast of wave variables are important for several applications that depend on a better description of the ocean state. Due to the chaotic behaviour of the differential equat…
cs.LG2025
Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity
Leandro Farina, Sergey Korotov
This work demonstrates a methodology for using deep learning to discover simple, practical criteria for classifying matrices based on abstract algebraic properties. By combining a…