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Bayesian recurrent state space model for rs-fMRI.

, , , и . CoRR, (2020)

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Martina Christine Scotti

Pierre-François Scotto

Peter Scott

Felix Markus Hubertus Scotti

James Wesley Scott

 

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Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms., , , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 489-498. PMLR, (2017)Learning Structured Neural Dynamics From Single Trial Population Recording., , , , и . ACSSC, стр. 666-670. IEEE, (2018)Poisson-Randomized Gamma Dynamical Systems., , , , и . NeurIPS, стр. 781-792. (2019)Convolutional State Space Models for Long-Range Spatiotemporal Modeling., , , , и . CoRR, (2023)BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos., , , , , , , , , и 3 other автор(ы). NeurIPS, стр. 15680-15691. (2019)SIXO: Smoothing Inference with Twisted Objectives., , , и . NeurIPS, (2022)Reparameterizing the Birkhoff Polytope for Variational Permutation Inference., , , , и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1618-1627. PMLR, (2018)Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems., , , , , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 914-922. PMLR, (2017)Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model., , , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 2800-2808. PMLR, (2021)Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations., , , , и . NeurIPS, (2020)