I’m a PhD student at the VU University Amsterdam. My research focuses on combining symbolic reasoning and machine learning, or “Neuro-Symbolic AI”. I’ve done work on differentiable fuzzy logics, and on optimization with discrete latent variables. I developed the Storchastic PyTorch library, which implements many gradient estimation methods.
I’m also interested in Personal Knowledge Management. I’ve developed Juggl, a plugin for Obsidian.md that adds a useful and customizable graph view. Other plugins include Graph Analysis, which uses graph theory algorithms to find similarities between notes, and Supercharged Links.
Another hobby of mine is music. Here are some songs I made!
Selected publications
- van Krieken, Emile, Erman Acar, and Frank van Harmelen. “Analyzing differentiable fuzzy logic operators.” Artificial Intelligence 302 (2022)
- van Krieken, Emile, Jakub Tomczak, and Annette Ten Teije. “Storchastic: A Framework for General Stochastic Automatic Differentiation.” Advances in Neural Information Processing Systems 34 (2021).