Reversible jump MCMC for nonparametric drift estimation for diffusion processes. - Frank van der Meulen; Moritz Schauer; Harry van Zanten (Comput. Stat. Data Anal., 2014)

Learning the Causal Structure of Copula Models with Latent Variables. - Ruifei Cui; Perry Groot; Moritz Schauer; Tom Heskes (UAI, 2018)

Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis. - Alexis Arnaudon; Frank van der Meulen; Moritz Schauer; Stefan Sommer (CoRR, 2020)

Applied Measure Theory for Probabilistic Modeling. - Chad Scherrer; Moritz Schauer (CoRR, 2021)

A piecewise deterministic Monte Carlo method for diffusion bridges. - Joris Bierkens; Sebastiano Grazzi; Frank van der Meulen; Moritz Schauer (Stat. Comput., 2021)

Remote-gestütztes Programmieren, Debuggen und Testen eines autonomen Modellfahrzeugs. - Jakob Czekansky; Clemens Haefke; Moritz Schauer; Diethelm Bienhaus (DELFI, 2022)

Automatic Differentiation of Programs with Discrete Randomness. - Gaurav Arya; Moritz Schauer; Frank Schäfer; Christopher Rackauckas (NeurIPS, 2022)

Flexible Group Fairness Metrics for Survival Analysis. - Raphael Sonabend; Florian Pfisterer; Alan Mishler; Moritz Schauer; Lukas Burk; Sebastian J. Vollmer (CoRR, 2022)

Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions. - Alexis Arnaudon; Frank van der Meulen; Moritz Schauer; Stefan Sommer (SIAM J. Imaging Sci., 2022)

Towards Automated Regulation of Jacobaea Vulgaris in Grassland using Deep Neural Networks. - Moritz Schauer; Renke Hohl; Dennis Vaupel; Diethelm Bienhaus; Seyed Eghbal Ghobadi (ICCV (Workshops), 2023)

Differentiating Metropolis-Hastings to Optimize Intractable Densities. - Gaurav Arya; Ruben Seyer; Frank Schäfer; Alexander K. Lew; Mathieu Huot; Vikash K. Mansinghka; Chris Rackauckas; Kartik Chandra; Moritz Schauer (CoRR, 2023)

Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs. - Moritz Schauer; Marcel Wienöbst (CoRR, 2023)

Sticky PDMP samplers for sparse and local inference problems. - Joris Bierkens; Sebastiano Grazzi; Frank van der Meulen; Moritz Schauer (Stat. Comput., 2023)

Deep Learning Based Growth Modeling of Plant Phenotypes. - Renke Hohl; Moritz Schauer; Seyed Eghbal Ghobadi (ECCV Workshops (3), 2024)

Causal Structure Learning With Momentum: Sampling Distributions Over Markov Equivalence Classes. - Moritz Schauer; Marcel Wienöbst (PGM, 2024)

Score matching for bridges without time-reversals. - Elizabeth Louise Baker; Moritz Schauer; Stefan Sommer (CoRR, 2024)

Score matching for bridges without learning time-reversals. - Elizabeth Louise Baker; Moritz Schauer; Stefan Sommer (AISTATS, 2025)