Julien Klaus

According to our database, Julien Klaus authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Pushing the Limits: Concurrency Detection in Acyclic, Live, and 1-Safe Free-Choice Nets in O((P+T)²).

Thomas M. Prinz, Julien Klaus, Nick R. T. P. van Beest

CoRR, 2024

Model Counting and Sampling via Semiring Extensions.

Andreas Goral, Joachim Giesen, Mark Blacher, Christoph Staudt, Julien Klaus

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A visual analytics workflow for probabilistic modeling.

Julien Klaus, Mark Blacher, Andreas Goral, Philipp Lucas, Joachim Giesen

Vis. Informatics, June, 2023

Efficient and Portable Einstein Summation in SQL.

Mark Blacher, Julien Klaus, Christoph Staudt, Sören Laue, Viktor Leis, Joachim Giesen

Proc. ACM Manag. Data, 2023

Compiling Tensor Expressions into Einsum.

Julien Klaus, Mark Blacher, Joachim Giesen

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Convexity Certificates from Hessians.

Julien Klaus, Niklas Merk, Konstantin Wiedom, Sören Laue, Joachim Giesen

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

Compiling Linear Algebra Expressions into Efficient Code.

Julien Klaus, Mark Blacher, Joachim Giesen, Paul Gerhardt Rump, Konstantin Wiedom

Proceedings of the Computational Science - ICCS 2022, 2022

Machine Learning, Linear Algebra, and More: Is SQL All You Need?

Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Viktor Leis

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2020

Fast Entity Resolution With Mock Labels and Sorted Integer Sets.

Mark Blacher, Joachim Giesen, Sören Laue, Julien Klaus, Matthias Mitterreiter

Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, 2020

2019

Visualization Support for Developing a Matrix Calculus Algorithm: A Case Study.

Joachim Giesen, Julien Klaus, Sören Laue, Ferdinand Schreck

Comput. Graph. Forum, 2019