# Publications

Deep Exponential-Family Auto-Encoders.” In Advances in Neural Information Processing Systems 32. arXiv VersionAbstract

. Submitted. “Fast Convolutional Dictionary Learning off the Grid.” In IEEE Transactions on Signal Processing. arXiv VersionAbstract

. Submitted. “Spike sorting by convolutional dictionary learning.” Advances in Neural Information Processing 31. arXiv Version

. Submitted. “Convolutional Dictionary Learning in Hierarchical Networks.” In CAMSAP2019. arXiv VersionAbstract PDF Version

. Submitted. “Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning.” IEEE Transactions on Neural Networks and Learning Systems. arXiv VersionAbstract PDF Version

. Submitted. “Deeply-sparse signal representations.” IEEE Transactions on Signal Processing. arXiv Version PDF Version

. Submitted. “RandNet: deep learning with compressed measurements of images.” In IEEE 29th International Workshop on Machine Learning and Signal Processing (MLSP 2019). Pittsburgh, PA. arXiv VersionAbstract

. 10/13/2019. “Multitaper Infinite Hidden Markov Model for EEG.” In International Engineering in Medicine and Biology Conference (EMBC) 4/2019. Abstract PDF Version

. 4/2019. “Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach.” In International Conference on Artificial Intelligence and Statistics (AISTATS) 2019.Abstract PDF Version

. 2019. “A separable two-dimensional random field model of binary response data from multi-day behavioral experiments.” Journal of Neursocience Methods, 307, Pp. 175-187. Publisher's Version

. 9/1/2018. “Scalable convolutional dictionary learning with constrained recurrent sparse auto-encoders.” 2018 IEEE 28th International Worskhop on Machine Learning and Signal Processing. Aalborg, Denmark: IEEE. arXiv Version

. 9/2018. “Estimating a separably-Markov random field (SMuRF) from binary observations.” Neural Computation, 30, 4, Pp. 1046-1079. Publisher's Version yingzhuo_zhang.pdf

. 4/2018. “Corticoamygdala transfer of socially derived information gates observational learning.” Cell, 173, 6, Pp. 1329-1342. Publisher's Version

. 3/3/2018. “A modularized efficient framework for non-Markov time-series estimation.” IEEE Transactions on Signal Processing, 66, 12. Publisher's Version

. 2/15/2018. “State-space multitaper time-frequency analysis.” Proceedings of the National Academy of Sciences, 115, 1. Publisher's Version

. 1/2/2018. “ . 2017. “ . 2017. “

Efficient low-rank spectrotemporal decomposition using ADMM.” In Statistical Signal Processing Workshop (SSP), 2016 IEEE, Pp. 1–5. IEEE.

. 2016. “ . 2016. “Measuring the signal-to-noise ratio of a neuron.” Proceedings of the National Academy of Sciences, 112, 23, Pp. 7141–7146.

. 2015. “