30 citations · 180 across the 40 of their papers we have counts for
4 papers · 1 filter
Adversarial Classification: Necessary conditions and geometric flows
Nicolas Garcia Trillos, Ryan Murray
We study a version of adversarial classification where an adversary is empowered to corrupt data inputs up to some distance , using tools from variational analysis. In…
Lipschitz regularity of graph Laplacians on random data clouds
Jeff Calder, Nicolas Garcia Trillos, Marta Lewicka
In this paper we study Lipschitz regularity of elliptic PDEs on geometric graphs, constructed from random data points. The data points are sampled from a distribution supported on…
Traditional and accelerated gradient descent for neural architecture search
Nicolas Garcia Trillos, Felix Morales, Javier Morales
In this paper we introduce two algorithms for neural architecture search (NASGD and NASAGD) following the theoretical work by two of the authors [5] which used the geometric struct…
Data-Driven Forward Discretizations for Bayesian Inversion
Daniele Bigoni, Yuming Chen, Nicolas Garcia Trillos +2
This paper suggests a framework for the learning of discretizations of expensive forward models in Bayesian inverse problems. The main idea is to incorporate the parameters governi…