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Andrew Song

Massachusetts Institute of Technology

gaussian process

time series

neuroscience

oscillation

state space

1

presentations

2

number of views

SHORT BIO

Andrew Hyungsuk Song is currently a Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS), MIT. He also received B.Sc. and M.Eng. degree in EECS from MIT in 2015 and 2016, respectively. He is currently a member of Neuroscience Statistics Research Laboratory at MIT, advised by Professor Emery N. Brown, and Computation, Representations, and Inference in Signal Processing (CRISP) group at Harvard University, advised by Professor Demba Ba. His main research interest is statistical/neural signal processing, with a focus on sparsity and dictionary learning. He is also interested in the connection between signal processing and deep learning.

Presentations

A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components

Demba Ba and 2 other authors

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