Demba Ba
Affiliations: | Bioengineering | Harvard University, Cambridge, MA, United States |
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Publications
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Tolooshams B, Dey S, Ba D. (2020) Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning. Ieee Transactions On Neural Networks and Learning Systems |
Song AH, Flores FJ, Ba D. (2020) Convolutional Dictionary Learning With Grid Refinement Ieee Transactions On Signal Processing. 68: 2558-2573 |
Zhang Y, Malem-Shinitski N, Allsop SA, et al. (2018) Estimating a Separably Markov Random Field from Binary Observations. Neural Computation. 1-34 |
Schamberg G, Ba D, Coleman TP. (2018) A Modularized Efficient Framework for Non-Markov Time Series Estimation Ieee Transactions On Signal Processing. 66: 3140-3154 |
Kim SE, Behr MK, Ba D, et al. (2017) State-space multitaper time-frequency analysis. Proceedings of the National Academy of Sciences of the United States of America |
Czanner G, Sarma SV, Ba D, et al. (2015) Measuring the signal-to-noise ratio of a neuron. Proceedings of the National Academy of Sciences of the United States of America. 112: 7141-6 |
Ba D, Temereanca S, Brown EN. (2014) Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models. Frontiers in Computational Neuroscience. 8: 6 |
Citi L, Ba D, Brown EN, et al. (2014) Likelihood methods for point processes with refractoriness. Neural Computation. 26: 237-63 |
Haslinger R, Ba D, Galuske R, et al. (2013) Missing mass approximations for the partition function of stimulus driven Ising models. Frontiers in Computational Neuroscience. 7: 96 |
Ribeiro F, Florêncio D, Ba D, et al. (2012) Geometrically constrained room modeling with compact microphone arrays Ieee Transactions On Audio, Speech and Language Processing. 20: 1449-1460 |