Moritz Schauer

According to our database, Moritz Schauer authored at least 13 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Sticky PDMP samplers for sparse and local inference problems.

Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen, Moritz Schauer

Stat. Comput., 2023

Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs.

Moritz Schauer, Marcel Wienöbst

CoRR, 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

Towards Automated Regulation of Jacobaea Vulgaris in Grassland using Deep Neural Networks.

Moritz Schauer, Renke Hohl, Dennis Vaupel, Diethelm Bienhaus, Seyed Eghbal Ghobadi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Flexible Group Fairness Metrics for Survival Analysis.

Raphael Sonabend, Florian Pfisterer, Alan Mishler, Moritz Schauer, Lukas Burk, Sebastian J. Vollmer

CoRR, 2022

Automatic Differentiation of Programs with Discrete Randomness.

Gaurav Arya, Moritz Schauer, Frank Schäfer, Christopher Rackauckas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Remote-gestütztes Programmieren, Debuggen und Testen eines autonomen Modellfahrzeugs.

Jakob Czekansky, Clemens Haefke, Moritz Schauer, Diethelm Bienhaus

Proceedings of the DELFI 2022, 2022

2021

A piecewise deterministic Monte Carlo method for diffusion bridges.

Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen, Moritz Schauer

Stat. Comput., 2021

Applied Measure Theory for Probabilistic Modeling.

Chad Scherrer, Moritz Schauer

CoRR, 2021

2020

Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis.

Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer

CoRR, 2020

2018

Learning the Causal Structure of Copula Models with Latent Variables.

Ruifei Cui, Perry Groot, Moritz Schauer, Tom Heskes

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2014

Reversible jump MCMC for nonparametric drift estimation for diffusion processes.

Frank van der Meulen, Moritz Schauer, Harry van Zanten

Comput. Stat. Data Anal., 2014