Nonlinear Transform Coding: Polar Coordinates Revisited. - Demba E. Ba; Vivek K. Goyal (DCC, 2006)

Enhanced MVDR Beamforming for Arrays of Directional Microphones. - Demba E. Ba; Dinei A. F. Florêncio; Cha Zhang (ICME, 2007)

Integer Polar Coordinates for Compression. - Demba E. Ba; Vivek K. Goyal (ISIT, 2007)

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)

L1 regularized room modeling with compact microphone arrays. - Demba E. Ba; Flavio P. Ribeiro; Cha Zhang; Dinei A. F. Florêncio (ICASSP, 2010)

Turning enemies into friends: Using reflections to improve sound source localization. - Flavio P. Ribeiro; Demba E. Ba; Cha Zhang; Dinei A. F. Florêncio (ICME, 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)

Algorithms and inference for simultaneous-event multivariate point-process, with applications to neural data. - Demba E. Ba (2011)

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 (NIPS, 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)

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)

Neural spike train denoising by point process re-weighted iterative smoothing. - Demba E. Ba; Behtash Babadi; Patrick L. Purdon; Emery N. Brown (ACSSC, 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)

Likelihood Methods for Point Processes with Refractoriness. - Luca Citi; Demba E. Ba; Emery N. Brown; Riccardo Barbieri (Neural Comput., 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)

Efficient low-rank spectrotemporal decomposition using ADMM. - Gabriel Schamberg; Demba E. Ba; Mark Wagner; Todd P. Coleman (SSP, 2016)

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)

Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface. - Taposh Banerjee; John S. Choi; Bijan Pesaran; Demba E. Ba; Vahid Tarokh (ICASSP, 2018)

Scalable Convolutional Dictionary Learning with constrained Recurrent Sparse Auto-encoders. - Bahareh Tolooshams; Sourav Dey; Demba E. Ba (MLSP, 2018)

Classification of Local Field Potentials using Gaussian Sequence Model. - Taposh Banerjee; John S. Choi; Bijan Pesaran; Demba E. Ba; Vahid Tarokh (SSP, 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)

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)

A Multitaper Frequency-Domain Bootstrap Method. - Seong-Eun Kim; Demba E. Ba; Emery N. Brown (IEEE Signal Process. Lett., 2018)

A Modularized Efficient Framework for Non-Markov Time Series Estimation. - Gabriel Schamberg; Demba E. Ba; Todd P. Coleman (IEEE Trans. Signal Process., 2018)

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 (AISTATS, 2019)

Convolutional Dictionary Learning in Hierarchical Networks. - Javier Zazo; Bahareh Tolooshams; Demba E. Ba (CAMSAP, 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 (EMBC, 2019)

Randnet: Deep Learning with Compressed Measurements of Images. - Thomas Chang; Bahareh Tolooshams; Demba E. Ba (MLSP, 2019)

Sequential Detection of Regime Changes in Neural Data. - Taposh Banerjee; Stephen A. Allsop; Kay M. Tye; Demba E. Ba; Vahid Tarokh (NER, 2019)

Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning. - Bahareh Tolooshams; Sourav Dey; Demba E. Ba (CoRR, 2019)

Deep Exponential-Family Auto-Encoders. - Bahareh Tolooshams; Andrew H. Song; Simona Temereanca; Demba E. Ba (CoRR, 2019)

Fast Convolutional Dictionary Learning off the Grid. - Andrew H. Song; Francisco J. Flores; Demba E. Ba (CoRR, 2019)

Convolutional dictionary learning based auto-encoders for natural exponential-family distributions. - Bahareh Tolooshams; Andrew H. Song; Simona Temereanca; Demba E. Ba (ICML, 2020)

Dense and Sparse Coding: Theory and Architectures. - Abiy Tasissa; Emmanouil Theodosis; Bahareh Tolooshams; Demba E. Ba (CoRR, 2020)

Manifold Learning and Deep Clustering with Local Dictionaries. - Pranay Tankala; Abiy Tasissa; James M. Murphy; Demba E. Ba (CoRR, 2020)

Deeply-Sparse Signal rePresentations (D$ text{S}^2$P). - Demba E. Ba (IEEE Trans. Signal Process., 2020)

Convolutional Dictionary Learning With Grid Refinement. - Andrew H. Song; Francisco J. Flores; Demba E. Ba (IEEE Trans. Signal Process., 2020)

Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. - Bahareh Tolooshams; Satish Mulleti; Demba E. Ba; Yonina C. Eldar (ICASSP, 2021)

Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality. - Abiy Tasissa; Pranay Tankala; Demba E. Ba (SSP, 2021)

PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components. - Andrew H. Song; Demba E. Ba; Emery N. Brown (UAI, 2021)

On the convergence of group-sparse autoencoders. - Emmanouil Theodosis; Bahareh Tolooshams; Pranay Tankala; Abiy Tasissa; Demba E. Ba (CoRR, 2021)

Weighed 𝓁1 on the simplex: Compressive sensing meets locality. - Abiy Tasissa; Pranay Tankala; Demba E. Ba (CoRR, 2021)

PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. - Bahareh Tolooshams; Demba E. Ba (CoRR, 2021)

Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning. - Bahareh Tolooshams; Sourav Dey; Demba E. Ba (IEEE Trans. Neural Networks Learn. Syst., 2021)

Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning. - Alexander Lin; Andrew H. Song; Demba E. Ba (ICASSP, 2022)

High-Dimensional Sparse Bayesian Learning without Covariance Matrices. - Alexander Lin; Andrew H. Song; Berkin Bilgic; Demba E. Ba (ICASSP, 2022)

Learning Filter-Based Compressed Blind-Deconvolution. - Bahareh Tolooshams; Satish Mulleti; Demba E. Ba; Yonina C. Eldar (CoRR, 2022)

Learning unfolded networks with a cyclic group structure. - Emmanouil Theodosis; Demba E. Ba (CoRR, 2022)

Gaussian Process Convolutional Dictionary Learning. - Andrew H. Song; Bahareh Tolooshams; Demba E. Ba (IEEE Signal Process. Lett., 2022)

Stable and Interpretable Unrolled Dictionary Learning. - Bahareh Tolooshams; Demba E. Ba (Trans. Mach. Learn. Res., 2022)

Covariance-Free Sparse Bayesian Learning. - Alexander Lin; Andrew H. Song; Berkin Bilgic; Demba E. Ba (IEEE Trans. Signal Process., 2022)

Learning Silhouettes with Group Sparse Autoencoders. - Emmanouil Theodosis; Demba E. Ba (ICASSP, 2023)

Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. - Alexander Lin; Bahareh Tolooshams; Yves F. Atchadé; Demba E. Ba (ICML, 2023)

Sparse, Geometric Autoencoder Models of V1. - Jonathan Huml; Abiy Tasissa; 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)

Learning Linear Groups in Neural Networks. - Emmanouil Theodosis; Karim Helwani; Demba E. Ba (CoRR, 2023)

K-Deep Simplex: Manifold Learning via Local Dictionaries. - Abiy Tasissa; Pranay Tankala; James M. Murphy; Demba E. Ba (IEEE Trans. Signal Process., 2023)

Unrolled Compressed Blind-Deconvolution. - Bahareh Tolooshams; Satish Mulleti; Demba E. Ba; Yonina C. Eldar (IEEE Trans. Signal Process., 2023)

An Efficient Algorithm For Clustered Multi-Task Compressive Sensing. - Alexander Lin; Demba E. Ba (ICASSP, 2024)

Clustering Inductive Biases with Unrolled Networks. - Jonathan Huml; Abiy Tasissa; Demba E. Ba (CoRR, 2024)

Learning Artistic Signatures: Symmetry Discovery and Style Transfer. - Emma Finn; T. Anderson Keller 001; Emmanouil Theodosis; Demba E. Ba (CoRR, 2024)

Discriminative reconstruction via simultaneous dense and sparse coding. - Abiy Tasissa; Manos Theodosis; Bahareh Tolooshams; Demba E. Ba (Trans. Mach. Learn. Res., 2024)

Traveling Waves Integrate Spatial Information Through Time. - Mozes Jacobs; Roberto C. Budzinski; Lyle Muller; Demba E. Ba; T. Anderson Keller 001 (CoRR, 2025)

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. - Thomas Fel; Ekdeep Singh Lubana; Jacob S. Prince; Matthew Kowal; Victor Boutin; Isabel Papadimitriou; Binxu Wang; Martin Wattenberg; Demba E. Ba; Talia Konkle (CoRR, 2025)

Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry. - Sai Sumedh R. Hindupur; Ekdeep Singh Lubana; Thomas Fel; Demba E. Ba (CoRR, 2025)

From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit. - Valérie Costa; Thomas Fel; Ekdeep Singh Lubana; Bahareh Tolooshams; Demba E. Ba (CoRR, 2025)

Evaluating Sparse Autoencoders: From Shallow Design to Matching Pursuit. - Valérie Costa; Thomas Fel; Ekdeep Singh Lubana; Bahareh Tolooshams; Demba E. Ba (CoRR, 2025)

Origins of Creativity in Attention-Based Diffusion Models. - Emma Finn; T. Anderson Keller 001; Manos Theodosis; Demba E. Ba (CoRR, 2025)