Demba E. Ba

According to our database, Demba E. Ba authored at least 60 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Clustering Inductive Biases with Unrolled Networks.

Jonathan Huml, Abiy Tasissa, Demba E. Ba

CoRR, 2024

2023

Unrolled Compressed Blind-Deconvolution.

Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar

IEEE Trans. Signal Process., 2023

K-Deep Simplex: Manifold Learning via Local Dictionaries.

Abiy Tasissa, Pranay Tankala, James M. Murphy, Demba E. Ba

IEEE Trans. Signal Process., 2023

An Efficient Algorithm for Clustered Multi-Task Compressive Sensing.

Alexander Lin, Demba E. Ba

CoRR, 2023

Learning Linear Groups in Neural Networks.

Emmanouil Theodosis, Karim Helwani, Demba E. Ba

CoRR, 2023

SHAPER: Can You Hear the Shape of a Jet?

Demba E. Ba, Akshunna S. Dogra, Rikab Gambhir, Abiy Tasissa, Jesse Thaler

CoRR, 2023

Sparse, Geometric Autoencoder Models of V1.

Jonathan Huml, Abiy Tasissa, Demba E. Ba

CoRR, 2023

Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models.

Alexander Lin, Bahareh Tolooshams, Yves F. Atchadé, Demba E. Ba

Proceedings of the International Conference on Machine Learning, 2023

Learning Silhouettes with Group Sparse Autoencoders.

Emmanouil Theodosis, Demba E. Ba

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Covariance-Free Sparse Bayesian Learning.

Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba

IEEE Trans. Signal Process., 2022

Stable and Interpretable Unrolled Dictionary Learning.

Bahareh Tolooshams, Demba E. Ba

Trans. Mach. Learn. Res., 2022

Gaussian Process Convolutional Dictionary Learning.

Andrew H. Song, Bahareh Tolooshams, Demba E. Ba

IEEE Signal Process. Lett., 2022

Learning unfolded networks with a cyclic group structure.

Emmanouil Theodosis, Demba E. Ba

CoRR, 2022

Learning Filter-Based Compressed Blind-Deconvolution.

Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar

CoRR, 2022

High-Dimensional Sparse Bayesian Learning without Covariance Matrices.

Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba

Proceedings of the IEEE International Conference on Acoustics, 2022

Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning.

Alexander Lin, Andrew H. Song, Demba E. Ba

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning.

Bahareh Tolooshams, Sourav Dey, Demba E. Ba

IEEE Trans. Neural Networks Learn. Syst., 2021

PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation.

Bahareh Tolooshams, Demba E. Ba

CoRR, 2021

Weighed 𝓁₁ on the simplex: Compressive sensing meets locality.

Abiy Tasissa, Pranay Tankala, Demba E. Ba

CoRR, 2021

On the convergence of group-sparse autoencoders.

Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala, Abiy Tasissa, Demba E. Ba

CoRR, 2021

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

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

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality.

Abiy Tasissa, Pranay Tankala, Demba E. Ba

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution.

Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Convolutional Dictionary Learning With Grid Refinement.

Andrew H. Song, Francisco J. Flores, Demba E. Ba

IEEE Trans. Signal Process., 2020

Deeply-Sparse Signal rePresentations (D$\text{S}^2$P).

Demba E. Ba

IEEE Trans. Signal Process., 2020

Manifold Learning and Deep Clustering with Local Dictionaries.

Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba

CoRR, 2020

Dense and Sparse Coding: Theory and Architectures.

Abiy Tasissa, Emmanouil Theodosis, Bahareh Tolooshams, Demba E. Ba

CoRR, 2020

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

Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Fast Convolutional Dictionary Learning off the Grid.

Andrew H. Song, Francisco J. Flores, Demba E. Ba

CoRR, 2019

Deep Exponential-Family Auto-Encoders.

Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba

CoRR, 2019

Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning.

Bahareh Tolooshams, Sourav Dey, Demba E. Ba

CoRR, 2019

Sequential Detection of Regime Changes in Neural Data.

Taposh Banerjee, Stephen A. Allsop, Kay M. Tye, Demba E. Ba, Vahid Tarokh

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Randnet: Deep Learning with Compressed Measurements of Images.

Thomas Chang, Bahareh Tolooshams, Demba E. Ba

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Multitaper Infinite Hidden Markov Model for EEG.

Andrew H. Song, Leon Chlon, Hugo Soulat, John Tauber, Sandya Subramanian, Demba E. Ba, Michael J. Prerau

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Convolutional Dictionary Learning in Hierarchical Networks.

Javier Zazo, Bahareh Tolooshams, Demba E. Ba

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach.

Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Modularized Efficient Framework for Non-Markov Time Series Estimation.

Gabriel Schamberg, Demba E. Ba, Todd P. Coleman

IEEE Trans. Signal Process., 2018

A Multitaper Frequency-Domain Bootstrap Method.

Seong-Eun Kim, Demba E. Ba, Emery N. Brown

IEEE Signal Process. Lett., 2018

Estimating a Separably Markov Random Field from Binary Observations.

Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba

Neural Comput., 2018

Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference.

Leon Chlon, Andrew H. Song, Sandya Subramanian, Hugo Soulat, John Tauber, Demba E. Ba, Michael J. Prerau

CoRR, 2018

Classification of Local Field Potentials using Gaussian Sequence Model.

Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Scalable Convolutional Dictionary Learning with constrained Recurrent Sparse Auto-encoders.

Bahareh Tolooshams, Sourav Dey, Demba E. Ba

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface.

Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations.

Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba

CoRR, 2017

2016

Efficient low-rank spectrotemporal decomposition using ADMM.

Gabriel Schamberg, Demba E. Ba, Mark Wagner, Todd P. Coleman

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2014

Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms.

Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown

IEEE Trans. Signal Process., 2014

Likelihood Methods for Point Processes with Refractoriness.

Luca Citi, Demba E. Ba, Emery N. Brown, Riccardo Barbieri

Neural Comput., 2014

Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models.

Demba E. Ba, Simona Temereanca, Emery N. Brown

Frontiers Comput. Neurosci., 2014

Neural spike train denoising by point process re-weighted iterative smoothing.

Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Missing mass approximations for the partition function of stimulus driven Ising models.

Robert Haslinger, Demba E. Ba, Ralf Galuske, Ziv Williams, Gordon Pipa

Frontiers Comput. Neurosci., 2013

2012

Geometrically Constrained Room Modeling With Compact Microphone Arrays.

Flavio P. Ribeiro, Dinei A. F. Florêncio, Demba E. Ba, Cha Zhang

IEEE Trans. Speech Audio Process., 2012

Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization.

Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Algorithms and inference for simultaneous-event multivariate point-process, with applications to neural data.

Demba E. Ba

PhD thesis, 2011

2010

Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization.

Flavio P. Ribeiro, Cha Zhang, Dinei A. F. Florêncio, Demba E. Ba

IEEE Trans. Speech Audio Process., 2010

Turning enemies into friends: Using reflections to improve sound source localization.

Flavio P. Ribeiro, Demba E. Ba, Cha Zhang, Dinei A. F. Florêncio

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

L1 regularized room modeling with compact microphone arrays.

Demba E. Ba, Flavio P. Ribeiro, Cha Zhang, Dinei A. F. Florêncio

Proceedings of the IEEE International Conference on Acoustics, 2010

2008

Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings.

Cha Zhang, Dinei A. F. Florêncio, Demba E. Ba, Zhengyou Zhang

IEEE Trans. Multim., 2008

2007

Integer Polar Coordinates for Compression.

Demba E. Ba, Vivek K. Goyal

Proceedings of the IEEE International Symposium on Information Theory, 2007

Enhanced MVDR Beamforming for Arrays of Directional Microphones.

Demba E. Ba, Dinei A. F. Florêncio, Cha Zhang

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006

Nonlinear Transform Coding: Polar Coordinates Revisited.

Demba E. Ba, Vivek K. Goyal

Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006