I am a research associate at the University of Amsterdam working on natural language processing problems such as machine translation, word alignment, textual entailment, and paraphrasing. My interests sit at the intersection of disciplines such as formal languages, machine learning, approximate inference, global optimisation, and computational linguistics.
Recently, I’ve developed quite an interest in Bayesian deep learning. In particular, I’m developing probabilistic neural network models that reason with and induce forms of discrete generalisation such as trees and graphs.
If you need to find me try Science Park 107 (F2.11).
- Philip and I are going to present our tutorial on variational inference and deep generative models at ACL 2018! See you in Melbourne!