Research interests

With a background in applied mathematics and machine learning, I am particularly passionate about Graph Time Series Forecasting and Graph Reinforcement Learning, with applications to biological and engineering systems.

Publications & Working Papers

  • Ramzi Dakhmouche, Ivan Lunati, and Hossein Gorji. "Robust Symbolic Regression for Network Trajectory Inference."
    Transactions on Machine Learning Research 2025.
    International Conference on Learning Representations 2024 MLGenX.
  • Robust Deep Operator Learning. Submitted
  • Ramzi Dakhmouche, and Hossein Gorji. Network System Forecasting Despite Topology Perturbation. In preparation
  • Ramzi Dakhmouche, Ivan Lunati, and Hossein Gorji. Scalable Uncertainty-Aware Symbolic Regression for Network Model Discovery. In preparation

Resume

My resume can be downloaded here .

Master thesis update: September 15th, 2022

  • Ericsson provisional patent filed : Multi-Task Bandits method for personalized sample efficient network parameter optimization.
  • Master thesis defended.
  • Machine learning paper under preparation.

Some of the classes I particularly enjoyed, this year:

As a Mathematics, Vision, Learning (MVL) Master's student at École Normale Supérieure (ENS) Paris-Saclay, these are some of the classes I particularly liked this year:

Medium Articles

I have recently started writing medium articles and tutorials in which I share and explain classical but also state-of-the-art machine learning algorithms, methods and insights. Feel free follow me on medium if you're interested by such topics !

Some quotes I find interesting