3 papers
cs.CV2022
Leveraging Unlabeled Data for Sketch-based Understanding
Javier Morales, Nils Murrugarra-Llerena, Jose M. Saavedra
Sketch-based understanding is a critical component of human cognitive learning and is a primitive communication means between humans. This topic has recently attracted the interest…
math.AP2020
Semi-discrete optimization through semi-discrete optimal transport: a framework for neural architecture search
Nicolas Garcia Trillos, Javier Morales
In this paper we introduce a theoretical framework for semi-discrete optimization using ideas from optimal transport. Our primary motivation is in the field of deep learning, and s…
cs.LG2020
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…