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ORCIDMoritz Schauer
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2020 – today
- 2024
[i7]Elizabeth Louise Baker, Moritz Schauer
, Stefan Sommer:
Score matching for bridges without time-reversals. CoRR abs/2407.15455 (2024)- 2023
- [j4]Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen, Moritz Schauer:
Sticky PDMP samplers for sparse and local inference problems. Stat. Comput. 33(1): 8 (2023) - [c4]Moritz Schauer, Renke Hohl, Dennis Vaupel, Diethelm Bienhaus, Seyed Eghbal Ghobadi:
Towards Automated Regulation of Jacobaea Vulgaris in Grassland using Deep Neural Networks. ICCV (Workshops) 2023: 702-711 - [i6]Gaurav Arya, Ruben Seyer, Frank Schäfer, Alexander K. Lew, Mathieu Huot, Vikash K. Mansinghka, Chris Rackauckas, Kartik Chandra, Moritz Schauer:
Differentiating Metropolis-Hastings to Optimize Intractable Densities. CoRR abs/2306.07961 (2023) - [i5]Moritz Schauer, Marcel Wienöbst:
Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs. CoRR abs/2310.05655 (2023) - 2022
- [j3]Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer:
Diffusion Bridges for Stochastic Hamiltonian Systems and Shape Evolutions. SIAM J. Imaging Sci. 15(1): 293-323 (2022) - [c3]Jakob Czekansky, Clemens Haefke, Moritz Schauer, Diethelm Bienhaus:
Remote-gestütztes Programmieren, Debuggen und Testen eines autonomen Modellfahrzeugs. DELFI 2022: 259-260 - [c2]Gaurav Arya, Moritz Schauer, Frank Schäfer, Christopher Rackauckas:
Automatic Differentiation of Programs with Discrete Randomness. NeurIPS 2022 - [i4]Raphael Sonabend, Florian Pfisterer, Alan Mishler, Moritz Schauer, Lukas Burk, Sebastian J. Vollmer:
Flexible Group Fairness Metrics for Survival Analysis. CoRR abs/2206.03256 (2022) - [i3]Gaurav Arya, Moritz Schauer, Frank Schäfer, Chris Rackauckas:
Automatic Differentiation of Programs with Discrete Randomness. CoRR abs/2210.08572 (2022) - 2021
- [j2]Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen, Moritz Schauer:
A piecewise deterministic Monte Carlo method for diffusion bridges. Stat. Comput. 31(3): 37 (2021) - [i2]Chad Scherrer, Moritz Schauer:
Applied Measure Theory for Probabilistic Modeling. CoRR abs/2110.00602 (2021) - 2020
- [i1]Alexis Arnaudon, Frank van der Meulen, Moritz Schauer, Stefan Sommer:
Diffusion bridges for stochastic Hamiltonian systems with applications to shape analysis. CoRR abs/2002.00885 (2020)
2010 – 2019
- 2018
- [c1]Ruifei Cui, Perry Groot, Moritz Schauer, Tom Heskes:
Learning the Causal Structure of Copula Models with Latent Variables. UAI 2018: 188-197 - 2014
- [j1]Frank van der Meulen, Moritz Schauer, Harry van Zanten:
Reversible jump MCMC for nonparametric drift estimation for diffusion processes. Comput. Stat. Data Anal. 71: 615-632 (2014)
Coauthor Index
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