2 papers
cs.LG2026
Representation Gap: Explaining the Unreasonable Effectiveness of Neural Networks from a Geometric Perspective
David Perera, Victor Moura, Lais Isabelle Alves dos Santos +2
Characterizing precisely the asymptotic generalization error of neural networks using parameters that can be estimated efficiently is a crucial problem in machine learning, which r…
cs.LG2023
2-Cats: 2D Copula Approximating Transforms
Flavio Figueiredo, José Geraldo Fernandes, Jackson Silva +1
Copulas are powerful statistical tools for capturing dependencies across data dimensions. Applying Copulas involves estimating independent marginals, a straightforward task, follow…