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Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes.

, , , and . NIPS, page 329-336. Curran Associates, Inc., (2007)

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Workshop summary: Numerical mathematics in machine learning., , and . ICML, volume 382 of ACM International Conference Proceeding Series, page 9. ACM, (2009)Methods for estimating neural firing rates, and their application to brain-machine interfaces., , , and . Neural Networks, 22 (9): 1235-1246 (2009)Annular Augmentation Sampling., , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 139-147. PMLR, (2017)Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity., , and . CoRR, (2018)Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax., , and . CoRR, (2019)An L 1-regularized logistic model for detecting short-term neuronal interactions., , , , , , , , and . J. Comput. Neurosci., 32 (3): 479-497 (2012)Medical Imaging and Machine Learning., , , , and . CoRR, (2021)Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning., , , and . ICBINB@NeurIPS, volume 137 of Proceedings of Machine Learning Research, page 1-10. PMLR, (2020)Hierarchical Inducing Point Gaussian Process for Inter-domian Observations., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2926-2934. PMLR, (2021)Posterior Collapse and Latent Variable Non-identifiability., , and . NeurIPS, page 5443-5455. (2021)