Andrew H. Song

发表

Convolutional dictionary learning based auto-encoders for natural exponential-family distributions

Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, 2019, ICML.

Spike Sorting by Convolutional Dictionary Learning

Andrew H. Song, Francisco Flores, Demba Ba, 2018, 1806.01979.

Deep Exponential-Family Auto-Encoders pdf

Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, 2019, ArXiv.

Channel-Attention Dense U-Net for Multichannel Speech Enhancement

Bahareh Tolooshams, Andrew H. Song, Umut Isik, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

PLSO: A generative framework for decomposing nonstationary timeseries into piecewise stationary oscillatory components

Emery N. Brown, Andrew H. Song, Demba Ba, 2020 .

A Smoother State Space Multitaper Spectrogram

Emery N. Brown, Andrew H. Song, Sourish Chakravarty, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference pdf

Andrew H. Song, Sandya Subramanian, Michael J. Prerau, 2018, ArXiv.

Multitaper Infinite Hidden Markov Model for EEG

Andrew H. Song, Sandya Subramanian, Michael J. Prerau, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Fast Convolutional Dictionary Learning off the Grid pdf

Francisco J. Flores, Andrew H. Song, Demba Ba, 2019, ArXiv.

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

Emery N. Brown, Andrew H. Song, Demba Ba, 2020, UAI.

Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning pdf

Andrew H. Song, Demba Ba, Alexander Lin, 2021, ArXiv.

Adaptive State-Space Multitaper Spectral Estimation

Emery N. Brown, Andrew H. Song, Seong-Eun Kim, 2021, IEEE Signal Processing Letters.

Gaussian Process Convolutional Dictionary Learning pdf

Bahareh Tolooshams, Andrew H. Song, Demba Ba, 2021, IEEE Signal Processing Letters.

Covariance-Free Sparse Bayesian Learning pdf

Andrew H. Song, Demba Ba, Berkin Bilgic, 2021, ArXiv.

Closer look at the fMRI data analysis pipeline and its application in anesthesia resting state experiment

Andrew H. Song, 2016 .

Pharmacological Modulation of Noradrenergic Arousal Circuitry Disrupts Functional Connectivity of the Locus Ceruleus in Humans

Andrew H. Song, E. Brown, V. Napadow, 2017, The Journal of Neuroscience.

Electroencephalogram signatures of ketamine anesthesia-induced unconsciousness

Emery N. Brown, Francisco J. Flores, Andrew H. Song, 2016, Clinical Neurophysiology.

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Drew F. K. Williamson, Andrew H. Song, Richard J. Chen, 2022, ArXiv.

Covariance-Free Sparse Bayesian Learning

Andrew H. Song, Demba E. Ba, B. Bilgiç, 2021, IEEE Transactions on Signal Processing.

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Drew F. K. Williamson, Andrew H. Song, Richard J. Chen, 2022, MICCAI.

Electroencephalogram Signatures of Ketamine-Induced Unconsciousness

Andrew H. Song, P. Purdon, O. Akeju, 2016 .

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Drew F. K. Williamson, Andrew H. Song, Richard J. Chen, 2022, MICCAI.

Convolutional Dictionary Learning With Grid Refinement

Francisco J. Flores, Andrew H. Song, Demba Ba, 2020, IEEE Transactions on Signal Processing.

GABAA circuit mechanisms are associated with ether anesthesia-induced unconsciousness

Andrew H. Song, E. Brown, P. Purdon, 2016, Clinical Neurophysiology.

GABA A Circuit Level Mechanisms are Associated with Ether-induced Unconsciousness

Andrew H. Song, E. Brown, O. Akeju, 2016 .

A General-Purpose Self-Supervised Model for Computational Pathology

Ming Y. Lu, Drew F. K. Williamson, Andrew H. Song, 2023, ArXiv.

Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning

Andrew H. Song, Demba E. Ba, Alexander Lin, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Investigating Morphologic Correlates of Driver Gene Mutation Heterogeneity via Deep Learning.

Drew F. K. Williamson, Andrew H. Song, Faisal Mahmood, 2022, Cancer Research.

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples

Drew F. K. Williamson, Andrew H. Song, Jonathan T. C. Liu, 2023, ArXiv.

GABAA circuit mechanisms are associated with ether anesthesia-induced unconsciousness

Andrew H. Song, E. Brown, P. Purdon, 2016, Clinical Neurophysiology.

Electroencephalogram signatures of ketamine anesthesia-induced unconsciousness

Andrew H. Song, E. Brown, P. Purdon, 2016, Clinical Neurophysiology.

Convolutional dictionary learning based auto-encoders for natural exponential-family distributions

Andrew H. Song, Demba E. Ba, S. Temereanca, 2019, International Conference on Machine Learning.

Intrinsic disorder in the regulatory N-terminal domain of diacylglycerol acyltransferase 1 from Brassica napus

Andrew H. Song, M. J. Lemieux, T. Matsui, 2018, Scientific Reports.