---
_id: '67299'
author:
- first_name: Hans
  full_name: Harder, Hans
  id: '98879'
  last_name: Harder
- first_name: Abhijeet
  full_name: Vishwasrao, Abhijeet
  last_name: Vishwasrao
- first_name: Luca
  full_name: Guastoni, Luca
  last_name: Guastoni
- first_name: Ricardo
  full_name: Vinuesa, Ricardo
  last_name: Vinuesa
- first_name: Sebastian
  full_name: Peitz, Sebastian
  id: '47427'
  last_name: Peitz
  orcid: 0000-0002-3389-793X
citation:
  ama: '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>'
  apa: Harder, H., Vishwasrao, A., Guastoni, L., Vinuesa, R., &#38; Peitz, S. (2026).
    Efficient probabilistic surrogate modeling techniques for partially-observed large-scale
    dynamical systems. In G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, &#38; N. Atanasov
    (Eds.), <i>Proceedings of The 8th Annual Learning for Dynamics and Control Conference</i>
    (Vol. 331, pp. 1601–1619). PMLR. <a href="https://doi.org/10.48550/arXiv.2511.04641">https://doi.org/10.48550/arXiv.2511.04641</a>
  bibtex: '@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={<a href="https://doi.org/10.48550/arXiv.2511.04641">10.48550/arXiv.2511.04641</a>},
    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} }'
  chicago: Harder, Hans, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, and
    Sebastian Peitz. “Efficient Probabilistic Surrogate Modeling Techniques for Partially-Observed
    Large-Scale Dynamical Systems.” In <i>Proceedings of The 8th Annual Learning for
    Dynamics and Control Conference</i>, edited by Gaurav Sukhatme, Lars Lindemann,
    Stephen Tu, Adam Wierman, and Nikolay Atanasov, 331:1601–1619. Proceedings of
    Machine Learning Research. PMLR, 2026. <a href="https://doi.org/10.48550/arXiv.2511.04641">https://doi.org/10.48550/arXiv.2511.04641</a>.
  ieee: 'H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, and S. Peitz, “Efficient
    probabilistic surrogate modeling techniques for partially-observed large-scale
    dynamical systems,” in <i>Proceedings of The 8th Annual Learning for Dynamics
    and Control Conference</i>, 2026, vol. 331, pp. 1601–1619, doi: <a href="https://doi.org/10.48550/arXiv.2511.04641">10.48550/arXiv.2511.04641</a>.'
  mla: Harder, Hans, et al. “Efficient Probabilistic Surrogate Modeling Techniques
    for Partially-Observed Large-Scale Dynamical Systems.” <i>Proceedings of The 8th
    Annual Learning for Dynamics and Control Conference</i>, edited by Gaurav Sukhatme
    et al., vol. 331, PMLR, 2026, pp. 1601–1619, doi:<a href="https://doi.org/10.48550/arXiv.2511.04641">10.48550/arXiv.2511.04641</a>.
  short: '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.'
date_created: 2026-10-01T11:51:57Z
date_updated: 2026-10-01T11:52:48Z
department:
- _id: '655'
doi: 10.48550/arXiv.2511.04641
editor:
- first_name: Gaurav
  full_name: Sukhatme, Gaurav
  last_name: Sukhatme
- first_name: Lars
  full_name: Lindemann, Lars
  last_name: Lindemann
- first_name: Stephen
  full_name: Tu, Stephen
  last_name: Tu
- first_name: Adam
  full_name: Wierman, Adam
  last_name: Wierman
- first_name: Nikolay
  full_name: Atanasov, Nikolay
  last_name: Atanasov
intvolume: '       331'
keyword:
- own
- own-conference
- erc
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://openreview.net/pdf?id=Z9srtyqVLE
oa: '1'
page: 1601–1619
publication: Proceedings of The 8th Annual Learning for Dynamics and Control Conference
publisher: PMLR
series_title: Proceedings of Machine Learning Research
status: public
title: Efficient probabilistic surrogate modeling techniques for partially-observed
  large-scale dynamical systems
type: conference
user_id: '47427'
volume: 331
year: '2026'
...