Peer-reviewed publications

Preprints, workshop papers, et cetera

  • Wasserstein Auto-encoders: Latent Dimensionality and Random Encoders (ICLR workshop paper, 2018) (poster, paper)
  • Learning Disentangled Representations with Wasserstein Auto-Encoders (ICLR workshop paper, 2018) (poster, paper)
  • On the Latent Space of Wasserstein Auto-Encoders (2018) (arxiv)
  • Probabilistic Active Learning of Functions in Structural Causal Models (2017) (arxiv, workshop posterslides)
  • From Deterministic ODEs to Dynamic Structural Causal Models (2016) (arxiv)
  • Masters thesis: Three Variable Kernel Independence Testing with Time Series (2015)
  • The VC-Dimension of Similarity Hypothesis Spaces (2015) (arxiv)

Some things I am interested in

  • Kernel methods – applications of the kernel mean embedding
  • Causality
  • Gaussian Processes