Andrew H. Song - researchr alias

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Viewing Publication 1 - 13 from 13

2022

Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance PoolingIain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood. miccai 2022: 387-397 [doi]

High-Dimensional Sparse Bayesian Learning without Covariance MatricesAlexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba. icassp 2022: 1511-1515 [doi]

Mixture Model Auto-Encoders: Deep Clustering Through Dictionary LearningAlexander Lin, Andrew H. Song, Demba E. Ba. icassp 2022: 3368-3372 [doi]

Covariance-Free Sparse Bayesian LearningAlexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba. tsp, 70:3818-3831, 2022. [doi]

Generative models for neural time series with structured domain priorsAndrew H. Song. PhD thesis, Massachusetts Institute of Technology, USA, 2022. [doi]

Gaussian Process Convolutional Dictionary LearningAndrew H. Song, Bahareh Tolooshams, Demba E. Ba. spl, 29:95-99, 2022. [doi]

Adaptive State-Space Multitaper Spectral EstimationAndrew H. Song, Seong-Eun Kim, Emery N. Brown. spl, 29:523-527, 2022. [doi]

2021

PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory componentsAndrew H. Song, Demba Ba, Emery N. Brown. uai 2021: 1371-1381 [doi]

2020

2019

Multitaper Infinite Hidden Markov Model for EEGAndrew H. Song, Leon Chlon, Hugo Soulat, John Tauber, Sandya Subramanian, Demba E. Ba, Michael J. Prerau. embc 2019: 5803-5807 [doi]

2018

A Smoother State Space Multitaper SpectrogramAndrew H. Song, Sourish Chakravarty, Emery N. Brown. embc 2018: 33-36 [doi]

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