ML-AIM Machine Learning and Artificial Intelligence for Medicine

Research Laboratory led by Prof. Mihaela van der Schaar

    Model Interpretability

  1. J. Yoon, J. Jordon, M. van der Schaar, "INVASE: Instance-wise Variable Selection using Neural Networks," International Conference on Learning Representations (ICLR), 2019. [Link]
  2. O. Lahav, N. Mastronarde, and M. van der Schaar, "What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems," NIPS Machine Learning for Health Workshop 2018. - Selected as spotlight talk [Link] [Poster]