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Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 11613-11633. PMLR, (2022)Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI., , , , and . PLoS Comput. Biol., (2019)Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems., , and . CoRR, (2022)Identifying nonlinear dynamical systems from multi-modal time series data., , , , and . CoRR, (2021)Inferring Dynamical Systems with Long-Range Dependencies through Line Attractor Regularization., , , and . CoRR, (2019)Temporal unpredictability of a stimulus sequence affects brain activation differently depending on cognitive task demands., , , , , and . NeuroImage, (2014)Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies., , , , and . ICLR, OpenReview.net, (2021)Temporal unpredictability of a stimulus sequence and the processing of neutral and emotional stimuli., , , , , , and . NeuroImage, (2015)Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics, , , and . (2024)