| Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators A Agrawal, K Ravi, PS Koutsourelakis, HJ Bungartz Machine Learning and the Physical Sciences, 37th conference on Neural …, 2023 | 7 | 2023 |
| Multi-fidelity Gaussian process surrogate modeling for regression problems in physics K Ravi, V Fediukov, F Dietrich, T Neckel, F Buse, M Bergmann, ... arXiv preprint arXiv:2404.11965, 2024 | 5 | 2024 |
| Multi-fidelity no-u-turn sampling K Ravi, T Neckel, HJ Bungartz International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2022 | 2 | 2022 |
| Introduction and uncertainty quantification of kinetic models in the integrated data analysis framework M Bergmann, K Ravi, R Fischer, C Angioni, K Höfler, P Molina Cabrera, ... 86. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Materie und …, 2022 | 1 | 2022 |
| Multi-fidelity dimension-adaptive polynomial chaos expansion for plasma micro-instability analysis K Ravi, T Neckel, HJ Bungartz | 1 | 2022 |
| Stochastic black-box optimization using multi-fidelity score function estimator A Agrawal, K Ravi, PS Koutsourelakis, HJ Bungartz Machine Learning: Science and Technology 6 (1), 015024, 2025 | | 2025 |
| Dimension adaptive Multi-fidelity Polynomial Chaos Expansion using Leja points K Ravi Sparse Grids and Applications Seminar 2024, 2024 | | 2024 |
| Integrated Data Analysis augmented by Kinetic Modeling MG Bergmann Technische Universität München, 2024 | | 2024 |
| Neural Network Hyperparameter Optimization using SNOWPAC K Ravi | | 2019 |
| Stochastic Black-Box Simulator Optimization using Multi-Fidelity Score Function Estimator A Agrawal, PS Koutsourelakis, K Ravi, HJ Bungartz | | |
