Demba E. Ba

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 57

Top Venues

CoRR

IEEE Trans. Signal Process.

ICASSP

SSP

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Jonathan Huml, Abiy Tasissa, Demba E. Ba
Clustering Inductive Biases with Unrolled Networks. CoRR (2024)
Alexander Lin, Demba E. Ba
An Efficient Algorithm For Clustered Multi-Task Compressive Sensing. ICASSP (2024)
Demba E. Ba, Akshunna S. Dogra, Rikab Gambhir, Abiy Tasissa, Jesse Thaler
SHAPER: Can You Hear the Shape of a Jet? CoRR (2023)
Jonathan Huml, Abiy Tasissa, Demba E. Ba
Sparse, Geometric Autoencoder Models of V1. CoRR (2023)
Emmanouil Theodosis, Demba E. Ba
Learning Silhouettes with Group Sparse Autoencoders. ICASSP (2023)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unrolled Compressed Blind-Deconvolution. IEEE Trans. Signal Process. 71 (2023)
Alexander Lin, Demba E. Ba
An Efficient Algorithm for Clustered Multi-Task Compressive Sensing. CoRR (2023)
Emmanouil Theodosis, Karim Helwani, Demba E. Ba
Learning Linear Groups in Neural Networks. CoRR (2023)
Alexander Lin, Bahareh Tolooshams, Yves Atchadé, Demba E. Ba
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. ICML (2023)
Abiy Tasissa, Pranay Tankala, James M. Murphy, Demba E. Ba
K-Deep Simplex: Manifold Learning via Local Dictionaries. IEEE Trans. Signal Process. 71 (2023)
Bahareh Tolooshams, Demba E. Ba
Stable and Interpretable Unrolled Dictionary Learning. Trans. Mach. Learn. Res. 2022 (2022)
Alexander Lin, Andrew H. Song, Demba E. Ba
Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning. ICASSP (2022)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Learning Filter-Based Compressed Blind-Deconvolution. CoRR (2022)
Emmanouil Theodosis, Demba E. Ba
Learning unfolded networks with a cyclic group structure. CoRR (2022)
Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba
Covariance-Free Sparse Bayesian Learning. IEEE Trans. Signal Process. 70 (2022)
Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba
High-Dimensional Sparse Bayesian Learning without Covariance Matrices. CoRR (2022)
Andrew H. Song, Bahareh Tolooshams, Demba E. Ba
Gaussian Process Convolutional Dictionary Learning. IEEE Signal Process. Lett. 29 (2022)
Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba
High-Dimensional Sparse Bayesian Learning without Covariance Matrices. ICASSP (2022)
Alexander Lin, Andrew H. Song, Demba E. Ba
Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning. CoRR (2021)
Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba
Covariance-Free Sparse Bayesian Learning. CoRR (2021)
Bahareh Tolooshams, Sourav Dey, Demba E. Ba
Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Andrew H. Song, Demba E. Ba, Emery N. Brown
PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components. UAI (2021)
Abiy Tasissa, Pranay Tankala, Demba E. Ba
on the simplex: Compressive sensing meets locality. CoRR (2021)
Bahareh Tolooshams, Demba E. Ba
PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. CoRR (2021)
Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala, Abiy Tasissa, Demba E. Ba
On the convergence of group-sparse autoencoders. CoRR (2021)
Abiy Tasissa, Pranay Tankala, Demba E. Ba
Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality. SSP (2021)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. ICASSP (2021)
Andrew H. Song, Bahareh Tolooshams, Demba E. Ba
Gaussian Process Convolutional Dictionary Learning. CoRR (2021)
Abiy Tasissa, Emmanouil Theodosis, Bahareh Tolooshams, Demba E. Ba
Dense and Sparse Coding: Theory and Architectures. CoRR (2020)
Demba E. Ba
Deeply-Sparse Signal rePresentations (D$\text{S}^2$P). IEEE Trans. Signal Process. 68 (2020)
Andrew H. Song, Francisco J. Flores, Demba E. Ba
Convolutional Dictionary Learning With Grid Refinement. IEEE Trans. Signal Process. 68 (2020)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. CoRR (2020)
Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba
Manifold Learning and Deep Clustering with Local Dictionaries. CoRR (2020)
Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions. ICML (2020)
Andrew H. Song, Leon Chlon, Hugo Soulat, John Tauber, Sandya Subramanian, Demba E. Ba, Michael J. Prerau
Multitaper Infinite Hidden Markov Model for EEG. EMBC (2019)
Javier Zazo, Bahareh Tolooshams, Demba E. Ba
Convolutional Dictionary Learning in Hierarchical Networks. CAMSAP (2019)
Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba
Deep Exponential-Family Auto-Encoders. CoRR (2019)
Andrew H. Song, Francisco J. Flores, Demba E. Ba
Fast Convolutional Dictionary Learning off the Grid. CoRR (2019)
Thomas Chang, Bahareh Tolooshams, Demba E. Ba
Randnet: Deep Learning with Compressed Measurements of Images. MLSP (2019)
Taposh Banerjee, Stephen A. Allsop, Kay M. Tye, Demba E. Ba, Vahid Tarokh
Sequential Detection of Regime Changes in Neural Data. NER (2019)
Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. AISTATS (2019)
Javier Zazo, Bahareh Tolooshams, Demba E. Ba
Convolutional Dictionary Learning in Hierarchical Networks. CoRR (2019)
Thomas Chang, Bahareh Tolooshams, Demba E. Ba
RandNet: deep learning with compressed measurements of images. CoRR (2019)
Bahareh Tolooshams, Sourav Dey, Demba E. Ba
Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning. CoRR (2019)
Bahareh Tolooshams, Sourav Dey, Demba E. Ba
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders. CoRR (2018)
Seong-Eun Kim, Demba E. Ba, Emery N. Brown
A Multitaper Frequency-Domain Bootstrap Method. IEEE Signal Process. Lett. 25 (12) (2018)
Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
Classification of Local Field Potentials using Gaussian Sequence Model. SSP (2018)
Leon Chlon, Andrew H. Song, Sandya Subramanian, Hugo Soulat, John Tauber, Demba E. Ba, Michael J. Prerau
Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference. CoRR (2018)
Bahareh Tolooshams, Sourav Dey, Demba E. Ba
Scalable Convolutional Dictionary Learning with constrained Recurrent Sparse Auto-encoders. MLSP (2018)
Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba
Estimating a Separably Markov Random Field from Binary Observations. Neural Comput. 30 (4) (2018)
Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
A Modularized Efficient Framework for Non-Markov Time Series Estimation. IEEE Trans. Signal Process. 66 (12) (2018)
Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. CoRR (2018)
Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface. ICASSP (2018)
Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba
Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations. CoRR (2017)
Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
A Modularized Efficient Framework for Non-Markov Time Series Estimation. CoRR (2017)
Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
Classification of Local Field Potentials using Gaussian Sequence Model. CoRR (2017)
Gabriel Schamberg, Demba E. Ba, Mark Wagner, Todd P. Coleman
Efficient low-rank spectrotemporal decomposition using ADMM. SSP (2016)
Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
Neural spike train denoising by point process re-weighted iterative smoothing. ACSSC (2014)
Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms. IEEE Trans. Signal Process. 62 (1) (2014)
Demba E. Ba, Simona Temereanca, Emery N. Brown
Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models. Frontiers Comput. Neurosci. 8 (2014)
Luca Citi, Demba E. Ba, Emery N. Brown, Riccardo Barbieri
Likelihood Methods for Point Processes with Refractoriness. Neural Comput. 26 (2) (2014)
Robert Haslinger, Demba E. Ba, Ralf Galuske, Ziv Williams, Gordon Pipa
Missing mass approximations for the partition function of stimulus driven Ising models. Frontiers Comput. Neurosci. 7 (2013)
Flavio P. Ribeiro, Dinei A. F. Florêncio, Demba E. Ba, Cha Zhang
Geometrically Constrained Room Modeling With Compact Microphone Arrays. IEEE Trans. Speech Audio Process. 20 (5) (2012)
Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization. NIPS (2012)
Flavio P. Ribeiro, Demba E. Ba, Cha Zhang, Dinei A. F. Florêncio
Turning enemies into friends: Using reflections to improve sound source localization. ICME (2010)
Demba E. Ba, Flavio P. Ribeiro, Cha Zhang, Dinei A. F. Florêncio
L1 regularized room modeling with compact microphone arrays. ICASSP (2010)
Flavio P. Ribeiro, Cha Zhang, Dinei A. F. Florêncio, Demba E. Ba
Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization. IEEE Trans. Speech Audio Process. 18 (7) (2010)
Cha Zhang, Dinei A. F. Florêncio, Demba E. Ba, Zhengyou Zhang
Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings. IEEE Trans. Multim. 10 (3) (2008)
Demba E. Ba, Dinei A. F. Florêncio, Cha Zhang
Enhanced MVDR Beamforming for Arrays of Directional Microphones. ICME (2007)
Demba E. Ba, Vivek K. Goyal
Integer Polar Coordinates for Compression. ISIT (2007)
Demba E. Ba, Vivek K. Goyal
Nonlinear Transform Coding: Polar Coordinates Revisited. DCC (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Demba E. Ba