72 citations · 73 across the 3 of their papers we have counts for
3 papers
math.AG2024
Motives meet SymPy: studying -ring expressions in Python
Daniel Sanchez, David Alfaya, Jaime Pizarroso
We present a new Python package called "motives", a symbolic manipulation package based on SymPy capable of handling and simplifying motivic expressions in the Grothendieck ring of…
cs.LG2023★ 1 cited
Metric Tools for Sensitivity Analysis with Applications to Neural Networks
Jaime Pizarroso, David Alfaya, José Portela +1
As Machine Learning models are considered for autonomous decisions with significant social impact, the need for understanding how these models work rises rapidly. Explainable Artif…
cs.LG2020★ 72 cited
NeuralSens: Sensitivity Analysis of Neural Networks
J. Pizarroso, J. Portela, A. Muñoz
Neural networks are important tools for data-intensive analysis and are commonly applied to model non-linear relationships between dependent and independent variables. However, neu…