Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, S. Peitz, in: G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, N. Atanasov (Eds.), Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR, 2026, pp. 1601–1619.
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Harder, HansLibreCat;
Vishwasrao, Abhijeet;
Guastoni, Luca;
Vinuesa, Ricardo;
Peitz, SebastianLibreCat 
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Sukhatme, Gaurav;
Lindemann, Lars;
Tu, Stephen;
Wierman, Adam;
Atanasov, Nikolay
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Proceedings of The 8th Annual Learning for Dynamics and Control Conference
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Proceedings of Machine Learning Research
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331
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1601–1619
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Harder H, Vishwasrao A, Guastoni L, Vinuesa R, Peitz S. Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems. In: Sukhatme G, Lindemann L, Tu S, Wierman A, Atanasov N, eds. Proceedings of The 8th Annual Learning for Dynamics and Control Conference. Vol 331. Proceedings of Machine Learning Research. PMLR; 2026:1601–1619. doi:10.48550/arXiv.2511.04641
Harder, H., Vishwasrao, A., Guastoni, L., Vinuesa, R., & Peitz, S. (2026). Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems. In G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, & N. Atanasov (Eds.), Proceedings of The 8th Annual Learning for Dynamics and Control Conference (Vol. 331, pp. 1601–1619). PMLR. https://doi.org/10.48550/arXiv.2511.04641
@inproceedings{Harder_Vishwasrao_Guastoni_Vinuesa_Peitz_2026, series={Proceedings of Machine Learning Research}, title={Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems}, volume={331}, DOI={10.48550/arXiv.2511.04641}, booktitle={Proceedings of The 8th Annual Learning for Dynamics and Control Conference}, publisher={PMLR}, author={Harder, Hans and Vishwasrao, Abhijeet and Guastoni, Luca and Vinuesa, Ricardo and Peitz, Sebastian}, editor={Sukhatme, Gaurav and Lindemann, Lars and Tu, Stephen and Wierman, Adam and Atanasov, Nikolay}, year={2026}, pages={1601–1619}, collection={Proceedings of Machine Learning Research} }
Harder, Hans, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, and Sebastian Peitz. “Efficient Probabilistic Surrogate Modeling Techniques for Partially-Observed Large-Scale Dynamical Systems.” In Proceedings of The 8th Annual Learning for Dynamics and Control Conference, edited by Gaurav Sukhatme, Lars Lindemann, Stephen Tu, Adam Wierman, and Nikolay Atanasov, 331:1601–1619. Proceedings of Machine Learning Research. PMLR, 2026. https://doi.org/10.48550/arXiv.2511.04641.
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, and S. Peitz, “Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems,” in Proceedings of The 8th Annual Learning for Dynamics and Control Conference, 2026, vol. 331, pp. 1601–1619, doi: 10.48550/arXiv.2511.04641.
Harder, Hans, et al. “Efficient Probabilistic Surrogate Modeling Techniques for Partially-Observed Large-Scale Dynamical Systems.” Proceedings of The 8th Annual Learning for Dynamics and Control Conference, edited by Gaurav Sukhatme et al., vol. 331, PMLR, 2026, pp. 1601–1619, doi:10.48550/arXiv.2511.04641.
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