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Emily B. Fox | Adrian K. C. Lee | Nicholas J. Foti | Samuel Ainsworth | E. Fox | N. Foti | Samuel Ainsworth
[1] Adrian K. C. Lee,et al. Using neuroimaging to understand the cortical mechanisms of auditory selective attention , 2014, Hearing Research.
[2] Jesper Andersson,et al. A multi-modal parcellation of human cerebral cortex , 2016, Nature.
[3] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[4] Neil D. Lawrence,et al. Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data , 2003, NIPS.
[5] Mary M. Maleckar,et al. Building a 3D Integrated Cell , 2017, bioRxiv.
[6] T. J. Mitchell,et al. Bayesian Variable Selection in Linear Regression , 1988 .
[7] N. Shephard,et al. Multivariate stochastic variance models , 1994 .
[8] Patrick Danaher,et al. The joint graphical lasso for inverse covariance estimation across multiple classes , 2011, Journal of the Royal Statistical Society. Series B, Statistical methodology.
[9] M. West,et al. High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics , 2008, Journal of the American Statistical Association.
[10] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[11] Neil D. Lawrence,et al. Manifold Relevance Determination , 2012, ICML.
[12] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[13] Il Memming Park,et al. BLACK BOX VARIATIONAL INFERENCE FOR STATE SPACE MODELS , 2015, 1511.07367.
[14] Sayan Mukherjee,et al. Bayesian group factor analysis with structured sparsity , 2016, J. Mach. Learn. Res..
[15] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[16] Alexander J. Smola,et al. Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization , 2016, NIPS.
[17] Nicholas G. Polson,et al. Default Bayesian Analysis with Global-Local Shrinkage Priors , 2015, 1510.03516.
[18] Yizhen Zhang,et al. Variational Autoencoder: An Unsupervised Model for Modeling and Decoding fMRI Activity in Visual Cortex , 2017, bioRxiv.
[19] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[20] Max Welling,et al. Bayesian Compression for Deep Learning , 2017, NIPS.
[21] Soumya Ghosh,et al. Model Selection in Bayesian Neural Networks via Horseshoe Priors , 2017, J. Mach. Learn. Res..
[22] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[23] N. D. Clarke,et al. Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges , 2010, PloS one.
[24] R. Ilmoniemi,et al. Signal-space projection method for separating MEG or EEG into components , 1997, Medical and Biological Engineering and Computing.
[25] S. Konishi,et al. Variable selection via the weighted group lasso for factor analysis models , 2012 .
[26] G. Casella,et al. Penalized regression, standard errors, and Bayesian lassos , 2010 .
[27] Martin Luessi,et al. MEG and EEG data analysis with MNE-Python , 2013, Front. Neuroinform..