Here’s an overview of some of my research projects and interests.

Semi-Supervised Learning

Supervised Learning

The projects on supervised learning that I did so far, manly involved neural networks. Below you can find a short overview.

Sparse Neural Networks

For this project we used linearized Bregman iterations, in order to train sparse neural networks.

You can find the code for the project in our repo. So far we have two papers on this topic.

Robust Neural Networks

Here, we tried to enforce Lipschitz continuity for neural networks, motivated by adversarial instabilities. The code for this project can be found here.

Consensus-Based Optimization