Johannes Neumann

According to our database, Johannes Neumann authored at least 7 papers between 2016 and 2022.

Collaborative distances:

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

2022

Topology Optimisation under Uncertainties with Neural Networks.

Martin Eigel, Marvin Haase, Johannes Neumann

Algorithms, 2022

2019

Non-intrusive Tensor Reconstruction for High-Dimensional Random PDEs.

Martin Eigel, Johannes Neumann, Reinhold Schneider, Sebastian Wolf

Comput. Methods Appl. Math., 2019

DeepNotebooks: Deep Probabilistic Models Construct Python Notebooks for Reporting Datasets.

Claas Völcker, Alejandro Molina, Johannes Neumann, Dirk Westermann, Kristian Kersting

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2017

SDE Based Regression for Linear Random PDEs.

Felix Anker, Christian Bayer, Martin Eigel, Marcel Ladkau, Johannes Neumann, John Schoenmakers

SIAM J. Sci. Comput., 2017

2016

A Calibration Technique for Bang-Bang ADPLLs Using Jitter Distribution Monitoring.

Sebastian Höppner, Johannes Partzsch, Johannes Neumann, René Schüffny, Christian Mayr

IEEE Trans. Very Large Scale Integr. Syst., 2016

An Adaptive Multilevel Monte Carlo Method with Stochastic Bounds for Quantities of Interest with Uncertain Data.

Martin Eigel, Christian Merdon, Johannes Neumann

SIAM/ASA J. Uncertain. Quantification, 2016

All-to-all Communication in Multi-hop Wireless Networks with Mixer: Poster Abstract.

Fabian Mager, Johannes Neumann, Carsten Herrmann, Marco Zimmerling, Frank H. P. Fitzek

Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016