Luis Fernando Cantú studied economics at the Instituto Tecnológico Autónomo de México in Mexico City, and he is currently studying for an MSc computer science degree at the same university. His research interests lie, broadly speaking, in the intersection of the social sciences and computer science, including areas such as algorithmic game theory and Computational social science. Specifically, he is fascinated by repugnance constraints on markets, and by complex social phenomena like the formation of cities and traffic. In his free time, he likes to write fiction. He also loves to read novels, mainly by Latin American authors.
Computational Essay: The Traveling Salesman Problem
After training many Neural Networks, a Connectionist Temporal Classification (CTC) loss of 1.92 was achieved on the validation set. This could have possibly been lower with more computation time.