Fabian Latorre (2023)

Research Interests:

  • Convex/Non-Convex Optimization
  • Robust Optimization
  • Deep Learning
  • Statistical Learning Theory


I received my bachelor’s degree in 2012 and my master’s degree in 2015 from the mathematics department at Universidad de los Andes, Colombia. In september 2017 I started my PhD at EPFL. As of september 2018, I am part of prof. Volkan Cevher’s LIONS lab .​

Publications with LIONS

Robust Training and Verification of Deep Neural Networks

F. R. Latorre Gomez / V. Cevher (Dir.)  

Lausanne, EPFL, 2023. 

Adversarial Training Should Be Cast As a Non-Zero-Sum Game

A. Robey; F. Latorre; G. J. Pappas; H. Hassani; V. Cevher 


Finding Actual Descent Directions For Adversarial Training

F. Latorre; I. Krawczuk; L. T. Dadi; T. M. Pethick; V. Cevher 

2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

Z. Zhu; F. Latorre; G. Chrysos; V. Cevher 

2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.

A Plug-and-Play Deep Image Prior

Z. Sun; F. Latorre; T. Sanchez; V. Cevher 

2021. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. DOI : 10.1109/ICASSP39728.2021.9414879.

Access map