Demba E. Ba

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning Artistic Signatures: Symmetry Discovery and Style Transfer	2024	Emma Finn Teresa Keller Emmanouil Theodosis Demba E. Ba
+	On the convergence of group-sparse autoencoders	2021	Emmanouil Theodosis Bahareh Tolooshams Pranay Tankala Abiy Tasissa Demba E. Ba
+	Manifold Learning and Deep Clustering with Local Dictionaries.	2020	Pranay Tankala Abiy Tasissa James M. Murphy Demba E. Ba
+	Dense and Sparse Coding: Theory and Architectures.	2020	Abiy Tasissa Emmanouil Theodosis Bahareh Tolooshams Demba E. Ba
+	Deep Exponential-Family Auto-Encoders	2019	Bahareh Tolooshams Andrew H. Song Simona Temereanca Demba E. Ba
+	Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning.	2019	Bahareh Tolooshams S. Dey Demba E. Ba
+	Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference	2018	Leon Chlon Andrew H. Song Sandya Subramanian Hugo Soulat John Tauber Demba E. Ba Michael J. Prerau
+	Exact and stable recovery of sequences of signals with sparse increments via differential ℓ [subscript 1]-minimization	2012	Demba E. Ba Behtash Babadi Patrick L. Purdon Emery N. Brown

Common Coauthors

Coauthor	Papers Together
Bahareh Tolooshams	4
Abiy Tasissa	3
Andrew H. Song	2
Emmanouil Theodosis	2
Pranay Tankala	2
John Tauber	1
Hugo Soulat	1
Simona Temereanca	1
S. Dey	1
Leon Chlon	1
Sandya Subramanian	1
Teresa Keller	1
Emma Finn	1
Patrick L. Purdon	1
Emmanouil Theodosis	1
James M. Murphy	1
Michael J. Prerau	1
Emery N. Brown	1
Behtash Babadi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization	2016	Alekh Agarwal Animashree Anandkumar Prateek Jain Praneeth Netrapalli	2
+	Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures	2014	John R. Hershey Jonathan Le Roux Felix Weninger	2
+	Rethinking the CSC Model for Natural Images	2019	Dror Simon Michael Elad	2
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	2
+ PDF Chat	SCALABLE CONVOLUTIONAL DICTIONARY LEARNING WITH CONSTRAINED RECURRENT SPARSE AUTO-ENCODERS	2018	Bahareh Tolooshams S. Dey Demba Ba	2
+	Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing	2019	Vishal Monga Yuelong Li Yonina C. Eldar	2
+ PDF Chat	Optimization with Sparsity-Inducing Penalties	2011	Francis Bach Rodolphe Jenatton Julien Mairal Guillaume Obozinski	1
+	Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques.	1997	DSS Donald B. Percival Andrew T. Walden	1
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	1
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	1
+	A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects	2004	Wilson Truccolo Uri T. Eden Matthew Fellows John P. Donoghue Emery N. Brown	1
+ PDF Chat	A tutorial on spectral clustering	2007	Ulrike von Luxburg	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+ PDF Chat	Block-Sparse Signals: Uncertainty Relations and Efficient Recovery	2010	Yonina C. Eldar Patrick Kuppinger Helmut Bölcskei	1
+ PDF Chat	Sparse representations in unions of bases	2003	Rémi Gribonval Morten Nielsen	1
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	1
+	Spectrum estimation and harmonic analysis	1982	David J. Thomson	1
+ PDF Chat	Task-Driven Dictionary Learning	2011	Julien Mairal Francis Bach Jean Ponce	1
+ PDF Chat	Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics	2011	Feng Yang Y. M. Lu Luciano Sbaiz Martin Vetterli	1
+	Group Orthogonal Matching Pursuit for Logistic Regression	2011	Aurélie Lozano Grzegorz Świrszcz Naoki Abe	1
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	1
+ PDF Chat	Group sparse regularization for deep neural networks	2017	Simone Scardapane Danilo Comminiello Amir Hussain Aurelio Uncini	1
+ PDF Chat	Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising	2017	Kai Zhang Wangmeng Zuo Yunjin Chen Deyu Meng Lei Zhang	1
+ PDF Chat	Poisson Noise Reduction with Non-local PCA	2013	Joseph Salmon Zachary T. Harmany Charles‐Alban Deledalle Rebecca Willett	1
+	Sparse Signal Recovery via Generalized Entropy Functions Minimization	2019	Shuai Huang Trac D. Tran	1
+	Efficient Manifold and Subspace Approximations with Spherelets	2017	Didong Li Minerva Mukhopadhyay David B. Dunson	1
+ PDF Chat	Learned Convolutional Sparse Coding	2018	Sreter Hillel Raja Giryes	1
+	Block-Sparse Recurrent Neural Networks	2017	Sharan Narang Eric Undersander Gregory Diamos	1
+ PDF Chat	Cell Detection by Functional Inverse Diffusion and Non-negative Group Sparsity—Part II: Proximal Optimization and Performance Evaluation	2018	Pol del Aguila Joakim Jaldén	1
+	Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds	2018	Xiaohan Chen Jialin Liu Shuicheng Yan Wotao Yin	1
+	Deep Networks for Image Super-Resolution with Sparse Prior	2015	Zhaowen Wang Ding Liu Shuicheng Yan Wei Han Thomas S. Huang	1
+	Neural Proximal Gradient Descent for Compressive Imaging	2018	Morteza Mardani Qingyun Sun Shreyas Vasawanala Vardan Papyan Hatef Monajemi John M. Pauly David L. Donoho	1
+ PDF Chat	Sparse Coding and Autoencoders	2018	Akshay Rangamani Anirbit Mukherjee Amitabh Basu Ashish Arora Tejaswini Ganapathi Sang Chin Trac D. Tran	1
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	1
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	1
+	Deep Subspace Clustering Networks	2017	Pan Ji Tong Zhang Hongdong Li Mathieu Salzmann Ian Reid	1
+ PDF Chat	Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit	2016	Chong You Daniel P. Robinson René Vidal	1
+	Linear dynamical neural population models through nonlinear embeddings	2016	Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham	1
+	Unsupervised Deep Embedding for Clustering Analysis	2015	Junyuan Xie Ross Girshick Ali Farhadi	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Rethinking the CSC Model for Natural Images	2019	Dror Simon Michael Elad	1
+ PDF Chat	Deep Clustering Based On A Mixture Of Autoencoders	2019	Shlomo E. Chazan Sharon Gannot Jacob Goldberger	1
+ PDF Chat	Randnet: Deep Learning with Compressed Measurements of Images	2019	Thomas Chang Bahareh Tolooshams Demba Ba	1
+	Convolutional dictionary learning based auto-encoders for natural exponential-family distributions	2019	Bahareh Tolooshams Andrew H. Song Simona Temereanca Demba Ba	1
+	Dense and Sparse Coding: Theory and Architectures.	2020	Abiy Tasissa Emmanouil Theodosis Bahareh Tolooshams Demba E. Ba	1
+	Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning	2020	Bahareh Tolooshams S. Dey Demba Ba	1
+ PDF Chat	Class-Aware Fully Convolutional Gaussian and Poisson Denoising	2018	Tal Remez Or Litany Raja Giryes Alex Bronstein	1
+ PDF Chat	Model-Based Deep Learning	2023	Nir Shlezinger Jay Whang Yonina C. Eldar Alexandros G. Dimakis	1
+ PDF Chat	Introduction to Smooth Manifolds	2012	John M. Lee	1
+	Towards improving discriminative reconstruction via simultaneous dense and sparse coding	2020	Abiy Tasissa Emmanouil Theodosis Bahareh Tolooshams Demba Ba	1