Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Tobias Neckel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
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TIME-X
Bungartz, H.-J. (PI), Schreiber, M. (PI), Neckel, T. (PI), Schulz, M. (PI), Bolten, M. (PI), Stephanie, F. (PI), Legoll, F. (PI), Lelièvre, T. (PI), Speck, R. (PI), Samaey, G. (PI), Vandewalle, S. (PI), Maday, Y. (PI), Schöps, S. (PI), Ruprecht, D. (PI), Krause, R. (PI), Gander, M. J. (PI) & Gaddameedi, K. (CoI)
1/04/21 → 31/03/24
Project: Research
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Efficient and Scalable Kernel Matrix Approximations Using Hierarchical Decomposition
Gaddameedi, K., Reiz, S., Neckel, T. & Bungartz, H. J., 2024, Intelligent Computers, Algorithms, and Applications - Third BenchCouncil International Symposium, IC 2023, Revised Selected Papers. Cruz, C., Zhang, Y. & Gao, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-16 14 p. (Communications in Computer and Information Science; vol. 2036 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
Ravi, K., Fediukov, V., Dietrich, F., Neckel, T., Buse, F., Bergmann, M. & Bungartz, H. J., 1 Dec 2024, In: Machine Learning: Science and Technology. 5, 4, 045015.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Multi-fidelity No-U-Turn Sampling
Ravi, K., Neckel, T. & Bungartz, H. J., 2024, Monte Carlo and Quasi-Monte Carlo Methods - MCQMC 2022. Hinrichs, A., Pillichshammer, F. & Kritzer, P. (eds.). Springer, p. 543-560 18 p. (Springer Proceedings in Mathematics and Statistics; vol. 460).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification
Farcaș, I. G., Peherstorfer, B., Neckel, T., Jenko, F. & Bungartz, H. J., 1 Mar 2023, In: Computer Methods in Applied Mechanics and Engineering. 406, 115908.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations -
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs
Reiz, S., Neckel, T. & Bungartz, H. J., 2023, Parallel Processing and Applied Mathematics - 14th International Conference, PPAM 2022, Revised Selected Papers. Wyrzykowski, R., Dongarra, J., Deelman, E. & Karczewski, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 139-152 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13826 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations