2022
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Julius Berner, Lorenz Richter, Karen Ullrich |
An optimal control perspective on diffusion-based generative modeling
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NeurIPS 2022 Workshop on Score-Based Methods, 2022 |
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BibTeX
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Enric Ribera Borrell, Jannes Quer, Lorenz Richter, Christof Schütte |
Improving control based importance sampling strategies for metastable diffusions via adapted metadynamics
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SIAM Journal on Scientific Computing (SISC), 2022 (under review) |
BibTeX
arXiv
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Lorenz Richter, Julius Berner |
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
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Proceedings of the 39th International Conference on Machine Learning, PMLR, pp. 18649-18666, Vol.162, 2022 |
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BibTeX
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2021
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Enric Ribera Borrell, Jannes Quer, Lorenz Richter, Christof Schütte |
Improving control based importance sampling strategies for metastable diffusions via adapted metadynamics
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ZIB-Report 21-40 |
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BibTeX
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Nikolas Nüsken, Lorenz Richter |
Interpolating between BSDEs and PINNs: deep learning for elliptic and parabolic boundary value problems
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2021 (under review) |
BibTeX
arXiv
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Carsten Hartmann, Lorenz Richter |
Nonasymptotic bounds for suboptimal importance sampling
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2021 (under review) |
BibTeX
arXiv
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