Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems Harder, Hans Vishwasrao, Abhijeet Guastoni, Luca Vinuesa, Ricardo Peitz, Sebastian Sukhatme, Gaurav Lindemann, Lars Tu, Stephen Wierman, Adam Atanasov, Nikolay own own-conference erc PMLR 2026 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://ris.uni-paderborn.de/record/67299 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. <i>Proceedings of The 8th Annual Learning for Dynamics and Control Conference</i>. Vol 331. Proceedings of Machine Learning Research. PMLR; 2026:1601–1619. doi:<a href="https://doi.org/10.48550/arXiv.2511.04641">10.48550/arXiv.2511.04641</a> eng info:eu-repo/semantics/altIdentifier/doi/10.48550/arXiv.2511.04641 info:eu-repo/semantics/openAccess