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Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models., , , , , , and . CHIL, volume 209 of Proceedings of Machine Learning Research, page 50-71. PMLR, (2023)Effectively Modeling Time Series with Simple Discrete State Spaces., , , , , and . ICLR, OpenReview.net, (2023)Shuffled Linear Regression with Erroneous Observations., , and . CISS, page 1-6. IEEE, (2019)A Stochastic Newton-Raphson Method with Noisy Function Measurements., and . IEEE Signal Process. Lett., 23 (3): 361-365 (2016)Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis., , , , , , , and . ICLR, OpenReview.net, (2022)Domino: Discovering Systematic Errors with Cross-Modal Embeddings., , , , , , , and . ICLR, OpenReview.net, (2022)Hungry Hungry Hippos: Towards Language Modeling with State Space Models., , , , , and . ICLR, OpenReview.net, (2023)Double Descent Optimization Pattern and Aliasing: Caveats of Noisy Labels., , , , , , , , , and . CoRR, (2021)Application of an optimal stochastic Newton-Raphson technique to triangulation-based localization systems., and . PLANS, page 981-986. IEEE, (2016)