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Results: 3
Number of items: 3
  • Open Access
    Schirmer, M., Jazbec, M., Naesseth, C. A., & Nalisnick, E. (2025). Monitoring Risks in Test-Time Adaptation. In D. Belgrave, C. Zhang, H. Lin, R. Pascanu, P. Koniusz, M. Ghassemi, & N. Chen (Eds.), 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025): 2-7 December 2025, San Diego, California, USA and 30 November-5 December 2025, Mexico City, Mexico (pp. 89783-89816). (Advances in Neural Information Processing Systems; Vol. 38). Neural Information Processing Systems Foundation. https://doi.org/10.52202/085713-2705
  • Open Access
    Schirmer, M., Zhang, D., & Nalisnick, E. (2025). Temporal Test-Time Adaptation with State-Space Models. Transactions on Machine Learning Research, 2025, Article 5244. https://openreview.net/forum?id=HFETOmUtrV
  • Open Access
    Schirmer, M., Eltayeb, M., Lessmann, S., & Rudolph, M. (2022). Modeling irregular time series with continuous recurrent units. Proceedings of Machine Learning Research, 162, 19388-19405. https://proceedings.mlr.press/v162/schirmer22a.html
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