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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)Bayesian recurrent state space model for rs-fMRI., , , и . CoRR, (2020)Emergence of belief-like representations through reinforcement learning., , , , , и . PLoS Comput. Biol., (2023)Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs., , , , , , , , и . NeurIPS, (2022)Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations., , , , и . NeurIPS, (2020)Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation., , и . NIPS, стр. 3456-3464. (2015)Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems., , и . NeurIPS, стр. 16700-16713. (2021)Generalized Shape Metrics on Neural Representations., , , и . NeurIPS, стр. 4738-4750. (2021)