Research output per year
Research output per year
- 1 - 50 out of 263 results
Search results
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2025
Stochastic black-box optimization using multi-fidelity score function estimator
Agrawal, A., Ravi, K., Koutsourelakis, P. S. & Bungartz, H. J., 31 Mar 2025, In: Machine Learning: Science and Technology. 6, 1, 015024.Research output: Contribution to journal › Article › peer-review
Open Access -
2024
Anomaly Detection from Time Series Under Uncertainty
Wiessner, P., Bezirganyan, G., Sellami, S., Chbeir, R. & Bungartz, H. J., 2024, Big Data Analytics and Knowledge Discovery - 26th International Conference, DaWaK 2024, Proceedings. Wrembel, R., Chiusano, S., Kotsis, G., Khalil, I. & Tjoa, A. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 231-238 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14912 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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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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Efficient Polyhedral Gravity Modeling in Modern C++ and Python
Schuhmacher, J., Blazquez, E., Gratl, F., Izzo, D. & Gómez, P., 1 Jun 2024, In: Journal of Open Source Software. 9, 98, p. 6384Research output: Contribution to journal › Article › peer-review
Open Access -
JaxSGMC: Modular stochastic gradient MCMC in JAX
Thaler, S., Fuchs, P., Cukarska, A. & Zavadlav, J., May 2024, In: SoftwareX. 26, 101722.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
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 Access4 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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MULTILEVEL MONTE CARLO ESTIMATORS FOR DERIVATIVE-FREE OPTIMIZATION UNDER UNCERTAINTY
Menhorn, F., Geraci, G., Seidl, D. T., Marzouk, Y. M., Eldred, M. S. & Bungartz, H. J., 2024, In: International Journal for Uncertainty Quantification. 14, 3, p. 21-65 45 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Quantum-Informed Recursive Optimization Algorithms
FinŽgar, J. R., Kerschbaumer, A., Schuetz, M. J. A., Mendl, C. B. & Katzgraber, H. G., Apr 2024, In: PRX Quantum. 5, 2, 020327.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus citations -
Toward unraveling airborne pathogen transmission in crowds: Parameter study for an agent-based exposure model
Rahn, S., Köster, G. & Bungartz, H. J., Jul 2024, In: Safety Science. 175, 106524.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Uncertainty-Aware Time Series Anomaly Detection
Wiessner, P., Bezirganyan, G., Sellami, S., Chbeir, R. & Bungartz, H. J., Nov 2024, In: Future Internet. 16, 11, 403.Research output: Contribution to journal › Article › peer-review
Open Access -
2023
Active-learning-based nonintrusive model order reduction
Zhuang, Q., Hartmann, D., Bungartz, H. J. & Lorenzi, J. M., 9 Jan 2023, In: Data-Centric Engineering. 4, 1, e2.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Computer Science
Bungartz, H. J., 1 Jan 2023, High Performance Computing in Science and Engineering '21: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021. Springer International Publishing, p. 423-424 2 p.Research output: Chapter in Book/Report/Conference proceeding › Foreword/postscript
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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 Access10 Scopus citations -
Investigation of the Robustness of Neural Density Fields
Schuhmacher, J., Gratl, F., Izzo, D. & Gómez, P., 31 Jul 2023.Research output: Contribution to conference › Paper › peer-review
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JAX-based Gray-Box Modeling Framework for Hybrid Thermal Building Models
Sievers, F., Hartmann, D., Dietrich, F., Mayer, H. & Bungartz, H. J., 2023, In: Building Simulation Conference Proceedings. 18, p. 3385-3392 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Learning effective SDEs from Brownian dynamic simulations of colloidal particles
Evangelou, N., Dietrich, F., Bello-Rivas, J. M., Yeh, A. J., Hendley, R. S., Bevan, M. A. & Kevrekidis, I. G., 5 Apr 2023, In: Molecular Systems Design and Engineering. 8, 7, p. 887-901 15 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning
Dietrich, F., Makeev, A., Kevrekidis, G., Evangelou, N., Bertalan, T., Reich, S. & Kevrekidis, I. G., 1 Feb 2023, In: Chaos. 33, 2, 023121.Research output: Contribution to journal › Article › peer-review
Open Access21 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 -
On the use of neural networks for full waveform inversion
Herrmann, L., Bürchner, T., Dietrich, F. & Kollmannsberger, S., 1 Oct 2023, In: Computer Methods in Applied Mechanics and Engineering. 415, 116278.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations -
OpenFOAM-preCICE: Coupling OpenFOAM with External Solvers for Multi-Physics Simulations
Chourdakis, G., Schneider, D. & Uekermann, B., 27 Feb 2023, In: OpenFOAM Journal. p. 1-25 25 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Sampling weights of deep neural networks
Bolager, E. L., Burak, I., Datar, C., Sun, Q. & Dietrich, F., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
4 Scopus citations -
Towards auto-tuning Multi-Site Molecular Dynamics simulations with AutoPas
Newcome, S. J., Gratl, F. A., Neumann, P. & Bungartz, H. J., 1 Dec 2023, In: Journal of Computational and Applied Mathematics. 433, 115278.Research output: Contribution to journal › Article › peer-review
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Uncertainty quantification in three-dimensional magnetohydrodynamic equilibrium reconstruction via surrogate-assisted Bayesian inference
W7-X Team, Köberl, R., von Toussaint, U., Bungartz, H. J., Schilling, J. & Albert, C. G., 1 Jun 2023, In: Contributions to Plasma Physics. 63, 5-6, e202200173.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
2022
A simple test case for convergence order in time and energy conservation of black-box coupling schemes
Schüller, V., Rodenberg, B., Uekermann, B. & Bungartz, H. J., 2022, In: World Congress in Computational Mechanics and ECCOMAS Congress. 700Research output: Contribution to journal › Conference article › peer-review
Open Access -
A SIMPLE TEST CASE FOR CONVERGENCE ORDER IN TIME AND ENERGY CONSERVATION OF BLACK-BOX COUPLING SCHEMES
Schüller, V., Rodenberg, B., Uekermann, B. & Bungartz, H. J., 2022.Research output: Contribution to conference › Paper › peer-review
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Bayesian inference methods to calibrate crowd dynamics models for safety applications
Gödel, M., Bode, N., Köster, G. & Bungartz, H. J., Mar 2022, In: Safety Science. 147, 105586.Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations -
Computer science
Bungartz, H. J., 1 Jan 2022, High Performance Computing in Science and Engineering '20: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2020. Springer International Publishing, p. 501-502 2 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis
Konrad, J., Farcaş, I. G., Peherstorfer, B., Di Siena, A., Jenko, F., Neckel, T. & Bungartz, H. J., 15 Feb 2022, In: Journal of Computational Physics. 451, 110898.Research output: Contribution to journal › Article › peer-review
Open Access13 Scopus citations -
ExCALIBUR - U.K.'s Preparation for the Arrival of the Next Generation of HPC
Betcke, T., Bungartz, H. J., Wells, G. & Woodley, S., 2022, In: Computing in Science and Engineering. 24, 1, p. 5-7 3 p.Research output: Contribution to journal › Review article › peer-review
1 Scopus citations -
FAIR data enabling new horizons for materials research
Scheffler, M., Aeschlimann, M., Albrecht, M., Bereau, T., Bungartz, H. J., Felser, C., Greiner, M., Groß, A., Koch, C. T., Kremer, K., Nagel, W. E., Scheidgen, M., Wöll, C. & Draxl, C., 1 Apr 2022, In: Nature. 604, 7907, p. 635-642 8 p.Research output: Contribution to journal › Review article › peer-review
Open Access133 Scopus citations -
Learning emergent partial differential equations in a learned emergent space
Kemeth, F. P., Bertalan, T., Thiem, T., Dietrich, F., Moon, S. J., Laing, C. R. & Kevrekidis, I. G., Dec 2022, In: Nature Communications. 13, 1, 3318.Research output: Contribution to journal › Article › peer-review
Open Access25 Scopus citations -
Load balanced particle simulation with automated algorithm selection
Neumann, P., Gratl, F., Seckler, S. & Bungartz, H. J., 1 Jan 2022, High Performance Computing in Science and Engineering '20: Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2020. Springer International Publishing, p. 503-511 9 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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N ways to simulate short-range particle systems: Automated algorithm selection with the node-level library AutoPas
Gratl, F. A., Seckler, S., Bungartz, H. J. & Neumann, P., Apr 2022, In: Computer Physics Communications. 273, 108262.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Personalized algorithm generation: a case study in learning ODE integrators
Guo, Y., Dietrich, F., Bertalan, T., Doncevic, D. T., Dahmen, M., Kevrekidis, I. G. & Li, Q., 2022, In: SIAM Journal on Scientific Computing. 44, 4, p. A1911-A1933Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations -
preCICE v2: A sustainable and user-friendly coupling library
Uekermann, B., Chourdakis, G., Davis, K., Rodenberg, B., Schulte, M., Simonis, F., Abrams, G., Bungartz, H. J., Cheung Yau, L., Desai, I., Eder, K., Hertrich, R., Lindner, F., Rusch, A., Sashko, D., Schneider, D., Totounferoush, A., Volland, D., Vollmer, P. & Koseomur, O. Z., 2022, In: Open Research Europe. 2, 51.Research output: Contribution to journal › Article › peer-review
Open Access51 Scopus citations -
QUARK: A Framework for Quantum Computing Application Benchmarking
Finzgar, J. R., Ross, P., Holscher, L., Klepsch, J. & Luckow, A., 2022, Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022. Institute of Electrical and Electronics Engineers Inc., p. 226-237 12 p. (Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access21 Scopus citations -
Resiliency in numerical algorithm design for extreme scale simulations
Agullo, E., Altenbernd, M., Anzt, H., Bautista-Gomez, L., Benacchio, T., Bonaventura, L., Bungartz, H. J., Chatterjee, S., Ciorba, F. M., DeBardeleben, N., Drzisga, D., Eibl, S., Engelmann, C., Gansterer, W. N., Giraud, L., Göddeke, D., Heisig, M., Jézéquel, F., Kohl, N. & Li, X. S. & 16 others, , Mar 2022, In: International Journal of High Performance Computing Applications. 36, 2, p. 251-285 35 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Towards the Digital University
Bungartz, H. J., 1 Jan 2022, Handbook Industry 4.0: Law, Technology, Society. Springer Berlin Heidelberg, p. 735-748 14 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
3 Scopus citations -
2021
A generalized spatially adaptive sparse grid combination technique with dimension-wise refinement
Obersteiner, M. & Bungartz, H. J., 2021, In: SIAM Journal on Scientific Computing. 43, 4, p. A2381-A2403Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
An environment for sustainable research software in Germany and beyond: Current state, open challenges, and call for action
Loewe, A., Seemann, G., Anzt, H., Bach, F., Druskat, S., Löffler, F., Renard, B. Y., Struck, A., Achhammer, E., Aggarwal, P., Appel, F., Bader, M., Brusch, L., Busse, C., Chourdakis, G., Dabrowski, P. W., Ebert, P., Flemisch, B., Friedl, S. & Fritzsch, B. & 24 others, , 2021, In: F1000Research. 9, 295.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations -
A Spatially Adaptive Sparse Grid Combination Technique for Numerical Quadrature
Obersteiner, M. & Bungartz, H. J., 2021, Sparse Grids and Applications - 2018. Bungartz, H.-J., Garcke, J., Garcke, J. & Pflüger, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 161-185 25 p. (Lecture Notes in Computational Science and Engineering; vol. 144).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
AutoPas in ls1 mardyn: Massively parallel particle simulations with node-level auto-tuning
Seckler, S., Gratl, F., Heinen, M., Vrabec, J., Bungartz, H. J. & Neumann, P., Mar 2021, In: Journal of Computational Science. 50, 101296.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Cfd/csd coupling for an isolated rotor using precice
Huang, Q., Abdelmoula, A., Chourdakis, G., Rauleder, J. & Uekermann, B., 2021, In: World Congress in Computational Mechanics and ECCOMAS Congress. 300Research output: Contribution to journal › Conference article › peer-review
Open Access2 Scopus citations -
Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique
Pollinger, T., Hurler, M., Obersteiner, M. & Pfluger, D., 2021, Proceedings of HiPar 2021: 2nd Workshop on Hierarchical Parallelism for Exascale Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 1-9 9 p. (Proceedings of HiPar 2021: 2nd Workshop on Hierarchical Parallelism for Exascale Computing, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations -
Fast approximation of the gauss-newton hessian matrix for the multilayer perceptron
Chen, C., Reiz, S., Yu, C. D., Bungartz, H. J. & Biros, G., Feb 2021, In: SIAM Journal on Matrix Analysis and Applications. 42, 1, p. 165-184 20 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Scopus citations -
FEniCS–preCICE: Coupling FEniCS to other simulation software
Rodenberg, B., Desai, I., Hertrich, R., Jaust, A. & Uekermann, B., Dec 2021, In: SoftwareX. 16, 100807.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus citations -
Fluid structure interaction modelling on flapping wings
Risseeuw, D., van Oudheusden, B. W., van Zuylen, A. H. & Chourdakis, G., 2021, 8th International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2019. Onate, E., Papadrakakis, M. & Schrefler, B. A. (eds.). International Center for Numerical Methods in Engineering, p. 33-46 14 p. (8th International Conference on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Modeling Melburnians—Using the Koopman operator to gain insight into crowd dynamics
Lehmberg, D., Dietrich, F. & Köster, G., Dec 2021, In: Transportation Research Part C: Emerging Technologies. 133, 103437.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Model order reduction based on Runge-Kutta neural networks
Zhuang, Q., Lorenzi, J. M., Bungartz, H. J. & Hartmann, D., 8 Sep 2021, In: Data-Centric Engineering. 2, 5, e13.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus citations