Bernardo A. Gonzalez T.

Bernardo A. Gonzalez Torres
ML Consultant

Contact information:
E-mail: bernardo.gtorres [at] gmail [dot] com
[cv]

About:

Welcome! I am currently on the job market

Previously, I was a MSc student in Computer Science at the University of California, Santa Cruz. Prior to joining UCSC, I completed my first Master's in Computer Science at the Network and Data Science Laboratory at the Computer Research Center of the National Polytechnic Institute, Mexico.

Main interests: Machine Learning, Deep Learning, Optimization (and applications).

Previously I have worked with: SVMs, Clustering algorithms, Robust Loss functions, Distributed Optimization algorithms, Deep Learning models, Anomaly detection.


PUBLICATIONS

"DOC3 - Deep One Class Classification using Contradictions"
  Sauptik Dhar, Bernardo A. Gonzalez Torres
arXiv preprint: 2105.07636, June 2021
[pdf]

"Clustering Improves the Goemans-Williamson Approximation for the Max-Cut Problem"
  Angel E. Rodriguez Fernandez, Bernardo A. Gonzalez Torres, Ricardo Menchaca Mendez, Peter F. Stadler
Computation, August 2020
[pdf]

"An algorithmic Introduction to Clustering"
  Bernardo A. Gonzalez Torres
arXiv preprint: 2006.04916, June 2020
[pdf]

"Data reduction for Machine Learning algorithms"
  Bernardo A. Gonzalez Torres, Ricardo Menchaca
Master's Thesis , 2016
[pdf] (In Spanish)


EXPERIENCE

Machine Learning Consultant, since March 2021

Bosch Center for Artificial Intelligence, Machine Learning Intern, Summer 2017 & 2018


Last modified: June, 2021