Peer-reviewed publications

• The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA (UAI 2019) (arxiv)
• 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

• Practical and Consistent Estimation of f-Divergences (2019) (arxiv)
• 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