Danilo de Goede

Danilo de Goede

PhD student of Artificial Intelligence

University of Amsterdam, QUVA Lab


I’m a PhD student at the QUVA lab at the University of Amsterdam supervised by Yuki Asano and Cees Snoek. Additionally, I am enrolled in the ELLIS PhD program in collaboration with Qualcomm. My research primarily focuses on foundation models, and how they can be efficiently adapted to incorporate desirable behaviors and properties.

Previously, I completed my Master’s degree in Artificial Intelligence at the University of Amsterdam, where I mainly worked on computer vision and causal representation learning. I also hold a Bachelor’s degree in Computer Science from the University of Amsterdam.

  • Foundation Models
  • Computer Vision
  • Self-Supervised Learning
  • MSc in Artificial Intelligence, 2023

    University of Amsterdam

  • BSc in Computer Science, 2021

    University of Amsterdam


Recent Publications

Reproducibility Study of “Counterfactual Generative Networks”
We reproduce the paper “Counterfactual Generative Networks” by Axel Sauer and Andreas Geiger to identify which parts of the experimental results supporting their claims can be reproduced, and at what cost in terms of resources (e.g., computational cost, development effort, and communication with the authors).
Reproducibility Study of “Counterfactual Generative Networks”