Peer-reviewed publications

- From Deterministic ODEs to Dynamic Structural Causal Models (UAI 2018) (paper, supplement, arxiv)
- Causal consistency of structural equation models (UAI 2017 with oral presentation) (paper, supplement, arxiv, presentation slides)
- A kernel test for three-variable interactions with random processes (UAI 2016) (paper, supplement, arxiv)

Preprints, workshop papers, et cetera

- An Empirical Study of Generative Models with Encoders (2018) (arxiv)
- 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 poster, slides)
- 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

- Generative Modelling – Wasserstein Autoencoders, Variational Autoencoders and Generative Adversarial Networks
- Kernel methods – applications of the kernel mean embedding
- Causality
- Gaussian Processes

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