Demba E. Ba - RankMe

86 papers A* 3A 4B 2Misc 8Journal 59Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. ICML Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
2025	J	`jnl`	Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. CoRR Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle
2025	J	`jnl`	Block-Recurrent Dynamics in Vision Transformers. CoRR Mozes Jacobs, Thomas Fel, Richard Hakim, Alessandra Brondetta, Demba E. Ba, T. Andy Keller
2025	J	`jnl`	Evaluating Sparse Autoencoders: From Shallow Design to Matching Pursuit. CoRR Valérie Costa, Thomas Fel, Ekdeep Singh Lubana, Bahareh Tolooshams, Demba E. Ba
2025	J	`jnl`	From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit. CoRR Valérie Costa, Thomas Fel, Ekdeep Singh Lubana, Bahareh Tolooshams, Demba E. Ba
2025	J	`jnl`	Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry. CoRR Thomas Fel, Binxu Wang, Michael A. Lepori, Matthew Kowal, Andrew Lee, Randall Balestriero, Sonia Joseph, Ekdeep Singh Lubana, Talia Konkle, Demba E. Ba, Martin Wattenberg
2025	J	`jnl`	Origins of Creativity in Attention-Based Diffusion Models. CoRR Emma Finn, T. Anderson Keller, Manos Theodosis, Demba E. Ba
2025	J	`jnl`	Priors in Time: Missing Inductive Biases for Language Model Interpretability. CoRR Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur, Valérie Costa, Greta Tuckute, Oam Patel, Sonia Krishna Murthy, Thomas Fel, Daniel Wurgaft, Eric J. Bigelow, Johnny Lin, Demba E. Ba, Martin Wattenberg, Fernanda B. Viégas, Melanie Weber, Aaron Mueller
2025	J	`jnl`	Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry. CoRR Sai Sumedh R. Hindupur, Ekdeep Singh Lubana, Thomas Fel, Demba E. Ba
2025	J	`jnl`	Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies. CoRR Gaia Grosso, Sai Sumedh R. Hindupur, Thomas Fel, Samuel Bright-Thonney, Philip C. Harris, Demba E. Ba
2025	J	`jnl`	Traveling Waves Integrate Spatial Information Through Time. CoRR Mozes Jacobs, Roberto C. Budzinski, Lyle Muller, Demba E. Ba, T. Anderson Keller
2024	Misc	`conf`	An Efficient Algorithm For Clustered Multi-Task Compressive Sensing. ICASSP Alexander Lin, Demba E. Ba
2024	J	`jnl`	Clustering Inductive Biases with Unrolled Networks. CoRR Jonathan Huml, Abiy Tasissa, Demba E. Ba
2024	J	`jnl`	Discriminative reconstruction via simultaneous dense and sparse coding. Trans. Mach. Learn. Res. Abiy Tasissa, Manos Theodosis, Bahareh Tolooshams, Demba E. Ba
2024	J	`jnl`	Learning Artistic Signatures: Symmetry Discovery and Style Transfer. CoRR Emma Finn, T. Anderson Keller, Emmanouil Theodosis, Demba E. Ba
2023	J	`jnl`	An Efficient Algorithm for Clustered Multi-Task Compressive Sensing. CoRR Alexander Lin, Demba E. Ba
2023	J	`jnl`	K-Deep Simplex: Manifold Learning via Local Dictionaries. IEEE Trans. Signal Process. Abiy Tasissa, Pranay Tankala, James M. Murphy, Demba E. Ba
2023	J	`jnl`	Learning Linear Groups in Neural Networks. CoRR Emmanouil Theodosis, Karim Helwani, Demba E. Ba
2023	Misc	`conf`	Learning Silhouettes with Group Sparse Autoencoders. ICASSP Emmanouil Theodosis, Demba E. Ba
2023	A*	`conf`	Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. ICML Alexander Lin, Bahareh Tolooshams, Yves F. Atchadé, Demba E. Ba
2023	J	`jnl`	Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. CoRR Alexander Lin, Bahareh Tolooshams, Yves F. Atchadé, Demba E. Ba
2023	J	`jnl`	SHAPER: Can You Hear the Shape of a Jet? CoRR Demba E. Ba, Akshunna S. Dogra, Rikab Gambhir, Abiy Tasissa, Jesse Thaler
2023	J	`jnl`	Sparse, Geometric Autoencoder Models of V1. CoRR Jonathan Huml, Abiy Tasissa, Demba E. Ba
2023	J	`jnl`	Unrolled Compressed Blind-Deconvolution. IEEE Trans. Signal Process. Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
2022	J	`jnl`	Covariance-Free Sparse Bayesian Learning. IEEE Trans. Signal Process. Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba
2022	J	`jnl`	Gaussian Process Convolutional Dictionary Learning. IEEE Signal Process. Lett. Andrew H. Song, Bahareh Tolooshams, Demba E. Ba
2022	Misc	`conf`	High-Dimensional Sparse Bayesian Learning without Covariance Matrices. ICASSP Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba
2022	J	`jnl`	High-Dimensional Sparse Bayesian Learning without Covariance Matrices. CoRR Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba
2022	J	`jnl`	Learning Filter-Based Compressed Blind-Deconvolution. CoRR Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
2022	J	`jnl`	Learning unfolded networks with a cyclic group structure. CoRR Emmanouil Theodosis, Demba E. Ba
2022	Misc	`conf`	Mixture Model Auto-Encoders: Deep Clustering Through Dictionary Learning. ICASSP Alexander Lin, Andrew H. Song, Demba E. Ba
2022	J	`jnl`	Stable and Interpretable Unrolled Dictionary Learning. Trans. Mach. Learn. Res. Bahareh Tolooshams, Demba E. Ba
2021	J	`jnl`	Covariance-Free Sparse Bayesian Learning. CoRR Alexander Lin, Andrew H. Song, Berkin Bilgic, Demba E. Ba
2021	J	`jnl`	Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. Bahareh Tolooshams, Sourav Dey, Demba E. Ba
2021	J	`jnl`	Gaussian Process Convolutional Dictionary Learning. CoRR Andrew H. Song, Bahareh Tolooshams, Demba E. Ba
2021	J	`jnl`	Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning. CoRR Alexander Lin, Andrew H. Song, Demba E. Ba
2021	J	`jnl`	On the convergence of group-sparse autoencoders. CoRR Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala, Abiy Tasissa, Demba E. Ba
2021	A	`conf`	PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components. UAI Andrew H. Song, Demba E. Ba, Emery N. Brown
2021	J	`jnl`	PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. CoRR Bahareh Tolooshams, Demba E. Ba
2021	Misc	`conf`	Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. ICASSP Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
2021	—	`conf`	Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality. SSP Abiy Tasissa, Pranay Tankala, Demba E. Ba
2021	J	`jnl`	Weighed 𝓁 CoRR Abiy Tasissa, Pranay Tankala, Demba E. Ba
2020	J	`jnl`	Convolutional Dictionary Learning With Grid Refinement. IEEE Trans. Signal Process. Andrew H. Song, Francisco J. Flores, Demba E. Ba
2020	A*	`conf`	Convolutional dictionary learning based auto-encoders for natural exponential-family distributions. ICML Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba
2020	J	`jnl`	Deeply-Sparse Signal rePresentations (D$\text{S}^2$P). IEEE Trans. Signal Process. Demba E. Ba
2020	J	`jnl`	Dense and Sparse Coding: Theory and Architectures. CoRR Abiy Tasissa, Emmanouil Theodosis, Bahareh Tolooshams, Demba E. Ba
2020	J	`jnl`	Manifold Learning and Deep Clustering with Local Dictionaries. CoRR Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba
2020	J	`jnl`	Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. CoRR Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
2019	A	`conf`	Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. AISTATS Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba
2019	—	`conf`	Convolutional Dictionary Learning in Hierarchical Networks. CAMSAP Javier Zazo, Bahareh Tolooshams, Demba E. Ba
2019	J	`jnl`	Convolutional Dictionary Learning in Hierarchical Networks. CoRR Javier Zazo, Bahareh Tolooshams, Demba E. Ba
2019	J	`jnl`	Deep Exponential-Family Auto-Encoders. CoRR Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba
2019	J	`jnl`	Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning. CoRR Bahareh Tolooshams, Sourav Dey, Demba E. Ba
2019	J	`jnl`	Fast Convolutional Dictionary Learning off the Grid. CoRR Andrew H. Song, Francisco J. Flores, Demba E. Ba
2019	—	`conf`	Multitaper Infinite Hidden Markov Model for EEG. EMBC Andrew H. Song, Leon Chlon, Hugo Soulat, John Tauber, Sandya Subramanian, Demba E. Ba, Michael J. Prerau
2019	J	`jnl`	RandNet: deep learning with compressed measurements of images. CoRR Thomas Chang, Bahareh Tolooshams, Demba E. Ba
2019	—	`conf`	Randnet: Deep Learning with Compressed Measurements of Images. MLSP Thomas Chang, Bahareh Tolooshams, Demba E. Ba
2019	—	`conf`	Sequential Detection of Regime Changes in Neural Data. NER Taposh Banerjee, Stephen A. Allsop, Kay M. Tye, Demba E. Ba, Vahid Tarokh
2018	J	`jnl`	A Modularized Efficient Framework for Non-Markov Time Series Estimation. IEEE Trans. Signal Process. Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
2018	J	`jnl`	A Multitaper Frequency-Domain Bootstrap Method. IEEE Signal Process. Lett. Seong-Eun Kim, Demba E. Ba, Emery N. Brown
2018	—	`conf`	Classification of Local Field Potentials using Gaussian Sequence Model. SSP Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
2018	J	`jnl`	Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach. CoRR Alexander Lin, Yingzhuo Zhang, Jeremy Heng, Stephen A. Allsop, Kay M. Tye, Pierre E. Jacob, Demba E. Ba
2018	J	`jnl`	Estimating a Separably Markov Random Field from Binary Observations. Neural Comput. Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba
2018	J	`jnl`	Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference. CoRR Leon Chlon, Andrew H. Song, Sandya Subramanian, Hugo Soulat, John Tauber, Demba E. Ba, Michael J. Prerau
2018	J	`jnl`	Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders. CoRR Bahareh Tolooshams, Sourav Dey, Demba E. Ba
2018	—	`conf`	Scalable Convolutional Dictionary Learning with constrained Recurrent Sparse Auto-encoders. MLSP Bahareh Tolooshams, Sourav Dey, Demba E. Ba
2018	Misc	`conf`	Wavelet Shrinkage and Thresholding Based Robust Classification for Brain-Computer Interface. ICASSP Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
2017	J	`jnl`	A Modularized Efficient Framework for Non-Markov Time Series Estimation. CoRR Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
2017	J	`jnl`	Classification of Local Field Potentials using Gaussian Sequence Model. CoRR Taposh Banerjee, John S. Choi, Bijan Pesaran, Demba E. Ba, Vahid Tarokh
2017	J	`jnl`	Estimating a Separably-Markov Random Field (SMuRF) from Binary Observations. CoRR Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba
2016	—	`conf`	Efficient low-rank spectrotemporal decomposition using ADMM. SSP Gabriel Schamberg, Demba E. Ba, Mark Wagner, Todd P. Coleman
2014	J	`jnl`	Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models. Frontiers Comput. Neurosci. Demba E. Ba, Simona Temereanca, Emery N. Brown
2014	J	`jnl`	Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms. IEEE Trans. Signal Process. Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
2014	J	`jnl`	Likelihood Methods for Point Processes with Refractoriness. Neural Comput. Luca Citi, Demba E. Ba, Emery N. Brown, Riccardo Barbieri
2014	Misc	`conf`	Neural spike train denoising by point process re-weighted iterative smoothing. ACSSC Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
2013	J	`jnl`	Missing mass approximations for the partition function of stimulus driven Ising models. Frontiers Comput. Neurosci. Robert Haslinger, Demba E. Ba, Ralf Galuske, Ziv Williams, Gordon Pipa
2012	—	`conf`	Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization. NIPS Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
2012	J	`jnl`	Geometrically Constrained Room Modeling With Compact Microphone Arrays. IEEE Trans. Speech Audio Process. Flavio P. Ribeiro, Dinei A. F. Florêncio, Demba E. Ba, Cha Zhang
2011	—	`—`	Algorithms and inference for simultaneous-event multivariate point-process, with applications to neural data. Demba E. Ba
2010	Misc	`conf`	L1 regularized room modeling with compact microphone arrays. ICASSP Demba E. Ba, Flavio P. Ribeiro, Cha Zhang, Dinei A. F. Florêncio
2010	A	`conf`	Turning enemies into friends: Using reflections to improve sound source localization. ICME Flavio P. Ribeiro, Demba E. Ba, Cha Zhang, Dinei A. F. Florêncio
2010	J	`jnl`	Using Reverberation to Improve Range and Elevation Discrimination for Small Array Sound Source Localization. IEEE Trans. Speech Audio Process. Flavio P. Ribeiro, Cha Zhang, Dinei A. F. Florêncio, Demba E. Ba
2008	J	`jnl`	Maximum Likelihood Sound Source Localization and Beamforming for Directional Microphone Arrays in Distributed Meetings. IEEE Trans. Multim. Cha Zhang, Dinei A. F. Florêncio, Demba E. Ba, Zhengyou Zhang
2007	A	`conf`	Enhanced MVDR Beamforming for Arrays of Directional Microphones. ICME Demba E. Ba, Dinei A. F. Florêncio, Cha Zhang
2007	B	`conf`	Integer Polar Coordinates for Compression. ISIT Demba E. Ba, Vivek K. Goyal
2006	B	`conf`	Nonlinear Transform Coding: Polar Coordinates Revisited. DCC Demba E. Ba, Vivek K. Goyal