Search Results for author:
Found 2 papers, 1 papers with code
Emergent Explainability: Adding a causal chain to neural network inference
This position paper presents a theoretical framework for enhancing explainable artificial intelligence (xAI) through emergent communication (EmCom), focusing on creating a causal understanding of AI model outputs.
A max-affine spline approximation of neural networks using the Legendre transform of a convex-concave representation
This work presents a novel algorithm for transforming a neural network into a spline representation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
