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Disambiguation of "Schreiter, Jens"

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Fast greedy insertion and deletion in sparse Gaussian process regression

, , , , and . Proceedings / 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015, page 101-106. Louvain-la-Neuve, Ciaco, (2015)

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Univ. -Prof. Dr. Jens Brockmeyer University of Stuttgart

Jens Wizl University of Stuttgart

Jens Keim University of Stuttgart

GALÆXI Application: NASA Rotor 37, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.
GALÆXI Application: NASA Rotor 37, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.GALÆXI Verification: Convergence Tests, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.GALÆXI Validation: Taylor-Green Vortex, , , , , , , , and . Dataset, (2024)Related to: Kempf, Daniel et al. “GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems.” (2024). arXiv: 2404.12703.

Jens Müller University of Stuttgart

Jens Anders

 

Other publications of authors with the same name

Safe exploration for active learning with Gaussian processes, , , , , and . Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2015 : proceedings, volume 3 of Lecture notes in computer science, page 133-149. Cham, Springer, (2015)Data-efficient and safe learning with Gaussian processes. Universität Stuttgart, Stuttgart, Dissertation, (2020)Sparse Gaussian process regression for compliant, real-time robot control, , , and . 2015 IEEE International Conference on Robotics and Automation (ICRA 2015) : Seattle, Washington, USA, 26 - 30 May 2015, page 2586-2591. Piscataway, NJ, IEEE, (2015)Fast greedy insertion and deletion in sparse Gaussian process regression, , , , and . Proceedings / 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015, page 101-106. Louvain-la-Neuve, Ciaco, (2015)Efficient sparsification for Gaussian process regression, , and . Advances in artificial neural networks, machine learning and computational intelligence : selected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015), 192, page 29-37. Amsterdam, Elsevier, (2016)