My research focuses on machine learning for extraction of structured information, mainly in the form of graphs. I am particularly interested in unsupervised and semi-supervised learning methods that leverage large amounts of unlabeled data.
I write about machine learning algorithms and their implementations in my blog.
- Our paper, Complex Query Answering with Neural Link Predictors, has been accepted for an oral presentation at ICLR 2021!
- New preprint: Complex Query Answering with Neural Link Predictors
- New preprint: Inductive Entity Representations from Text via Link Prediction
- New blogpost on Normalizing Flows.
- I've written a report for my virtual attendance to AKBC 2020.
- Our paper, Message Passing Query Embedding, has been accepted at the ICML 2020 GRL+ Workshop!
- I have obtained my MSc degree in Artificial Intelligence from the University of Amsterdam, with distinction cum laude. In my thesis I worked on the topic of graph representation learning, under the supervision of a Thomas Kipf.
- I have presented my MSc thesis at UCL in London, at the Workshop on graphs for machine learning and sequential decision making. See my poster here.
- I attended the TomTom AI summer school. We even got to train our own self-driving car! Some thoughts and pictures on LinkedIn.
- I wrote a blog post on computing optimal transport costs with PyTorch.