Bahareh Tolooshams

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All published works

Action	Title	Year	Authors
+ PDF Chat	Ultrasound Lung Aeration Map via Physics-Aware Neural Operators.	2025	Jiayun Wang Oleksii Ostras Masashi Sode Bahareh Tolooshams Zongyi Li Kamyar Azizzadenesheli Gianmarco Pinton Anima Anandkumar
+ PDF Chat	Unifying Subsampling Pattern Variations for Compressed Sensing MRI with Neural Operators	2024	Armeet Singh Jatyani Jiayun Wang Zihui Wu Miguel Liu-Schiaffini Bahareh Tolooshams Anima Anandkumar
+ PDF Chat	Unrolled Compressed Blind-Deconvolution	2023	Bahareh Tolooshams Satish Mulleti Demba Ba Yonina C. Eldar
+	Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models	2023	Alexander Lin Bahareh Tolooshams Yves F. Atchadé Demba Ba
+	Unrolled Compressed Blind-Deconvolution	2022	Bahareh Tolooshams Satish Mulleti Demba Ba Yonina C. Eldar
+ PDF Chat	Gaussian Process Convolutional Dictionary Learning	2021	Andrew H. Song Bahareh Tolooshams Demba Ba
+ PDF Chat	Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution	2021	Bahareh Tolooshams Satish Mulleti Demba Ba Yonina C. Eldar
+	On the convergence of group-sparse autoencoders	2021	Emmanouil Theodosis Bahareh Tolooshams Pranay Tankala Abiy Tasissa Demba E. Ba
+	A Training Framework for Stereo-Aware Speech Enhancement using Deep Neural Networks	2021	Bahareh Tolooshams Kazuhito Koishida
+	Stable and Interpretable Unrolled Dictionary Learning	2021	Bahareh Tolooshams Demba Ba
+	Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning	2020	Bahareh Tolooshams S. Dey Demba Ba
+	Dense and Sparse Coding: Theory and Architectures.	2020	Abiy Tasissa Emmanouil Theodosis Bahareh Tolooshams Demba E. Ba
+ PDF Chat	Channel-Attention Dense U-Net for Multichannel Speech Enhancement	2020	Bahareh Tolooshams Ritwik Giri Andrew H. Song Umut Isik Arvindh Krishnaswamy
+	Towards improving discriminative reconstruction via simultaneous dense and sparse coding	2020	Abiy Tasissa Emmanouil Theodosis Bahareh Tolooshams Demba Ba
+	Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution	2020	Bahareh Tolooshams Satish Mulleti Demba Ba Yonina C. Eldar
+	Channel-Attention Dense U-Net for Multichannel Speech Enhancement	2020	Bahareh Tolooshams Ritwik Giri Andrew H. Song Umut Isik Arvindh Krishnaswamy
+ PDF Chat	Convolutional Dictionary Learning in Hierarchical Networks	2019	Javier Zazo Bahareh Tolooshams Demba Ba Harvard John A. Paulson
+ PDF Chat	Randnet: Deep Learning with Compressed Measurements of Images	2019	Thomas Chang Bahareh Tolooshams Demba 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
+	Convolutional Dictionary Learning in Hierarchical Networks	2019	Javier Zazo Bahareh Tolooshams Demba Ba
+	RandNet: deep learning with compressed measurements of images	2019	Thomas Chang Bahareh Tolooshams Demba Ba
+	Convolutional dictionary learning based auto-encoders for natural exponential-family distributions	2019	Bahareh Tolooshams Andrew H. Song Simona Temereanca Demba Ba
+ PDF Chat	SCALABLE CONVOLUTIONAL DICTIONARY LEARNING WITH CONSTRAINED RECURRENT SPARSE AUTO-ENCODERS	2018	Bahareh Tolooshams S. Dey Demba Ba
+	Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders	2018	Bahareh Tolooshams S. Dey Demba Ba

Common Coauthors

Coauthor	Papers Together
Demba Ba	16
Andrew H. Song	5
Satish Mulleti	4
S. Dey	4
Demba E. Ba	4
Yonina C. Eldar	4
Abiy Tasissa	3
Emmanouil Theodosis	3
Umut Isik	2
Ritwik Giri	2
Simona Temereanca	2
Javier Zazo	2
Thomas Chang	2
Arvindh Krishnaswamy	2
Jiayun Wang	2
Anima Anandkumar	1
Anima Anandkumar	1
Armeet Singh Jatyani	1
Masashi Sode	1
Gianmarco Pinton	1
Kamyar Azizzadenesheli	1
Oleksii Ostras	1
Zongyi Li	1
Miguel Liu-Schiaffini	1
Yves F. Atchadé	1
Harvard John A. Paulson	1
Alexander Lin	1
Pranay Tankala	1
Kazuhito Koishida	1
Zihui Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	10
+ PDF Chat	Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization	2016	Alekh Agarwal Animashree Anandkumar Prateek Jain Praneeth Netrapalli	9
+ PDF Chat	SCALABLE CONVOLUTIONAL DICTIONARY LEARNING WITH CONSTRAINED RECURRENT SPARSE AUTO-ENCODERS	2018	Bahareh Tolooshams S. Dey Demba Ba	8
+	Convolutional Dictionary Learning: A Comparative Review and New Algorithms	2018	Cristina Garcia‐Cardona Brendt Wohlberg	7
+	Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning	2020	Bahareh Tolooshams S. Dey Demba Ba	5
+	Discriminative Recurrent Sparse Auto-Encoders	2013	Jason Tyler Rolfe Yann LeCun	5
+ PDF Chat	Learned Convolutional Sparse Coding	2018	Sreter Hillel Raja Giryes	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+	Convolutional dictionary learning based auto-encoders for natural exponential-family distributions	2019	Bahareh Tolooshams Andrew H. Song Simona Temereanca Demba Ba	3
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	3
+	Rethinking the CSC Model for Natural Images	2019	Dror Simon Michael Elad	3
+	Rethinking the CSC Model for Natural Images	2019	Dror Simon Michael Elad	3
+ PDF Chat	A theory for multiresolution signal decomposition: the wavelet representation	1989	Stéphane Mallat	3
+ PDF Chat	Cyclical Learning Rates for Training Neural Networks	2017	Leslie N. Smith	3
+	Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures	2014	John R. Hershey Jonathan Le Roux Felix Weninger	3
+	Convolutional Neural Networks Analyzed via Convolutional Sparse Coding	2016	Vardan Papyan Yaniv Romano Michael Elad	3
+ PDF Chat	An iterative thresholding algorithm for linear inverse problems with a sparsity constraint	2004	Ingrid Daubechies Michel Defrise Christine De Mol	3
+ PDF Chat	Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging	2011	Ronen Tur Yonina C. Eldar Zvi Friedman	2
+ PDF Chat	Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing	2021	Vishal Monga Yuelong Li Yonina C. Eldar	2
+ PDF Chat	Invariant Scattering Convolution Networks	2013	Joan Bruna Stéphane Mallat	2
+ PDF Chat	Identifiability Conditions for Compressive Multichannel Blind Deconvolution	2020	Satish Mulleti Kiryung Lee Yonina C. Eldar	2
+ PDF Chat	Sparsity-Based Poisson Denoising With Dictionary Learning	2014	Raja Giryes Michael Elad	2
+ PDF Chat	Randnet: Deep Learning with Compressed Measurements of Images	2019	Thomas Chang Bahareh Tolooshams Demba Ba	2
+	Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing	2019	Vishal Monga Yuelong Li Yonina C. Eldar	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+ 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	2
+ PDF Chat	Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding	2017	Vardan Papyan Jeremias Sulam Michael Elad	2
+ PDF Chat	Efficient dictionary learning via very sparse random projections	2015	Farhad Pourkamali‐Anaraki Stephen Becker Shannon M. Hughes	2
+	Blind Gain and Phase Calibration via Sparse Spectral Methods	2018	Yanjun Li Kiryung Lee Yoram Bresler	2
+	Supervised Dictionary Learning	2008	Julien Mairal Francis Bach Jean Ponce Guillermo Sapiro Andrew Zisserman	2
+ PDF Chat	Compressed Beamforming in Ultrasound Imaging	2012	Noam Wagner Yonina C. Eldar Zvi Friedman	2
+	Group Orthogonal Matching Pursuit for Logistic Regression	2011	Aurélie Lozano Grzegorz Świrszcz Naoki Abe	2
+ PDF Chat	Sub-Nyquist Radar via Doppler Focusing	2014	Omer Bar-Ilan Yonina C. Eldar	2
+	Proximal Algorithms	2013	Neal Parikh Stephen Boyd	2
+ PDF Chat	Blind calibration for compressed sensing by convex optimization	2012	Rémi Gribonval Gilles Chardon Laurent Daudet	2
+ PDF Chat	Task-Driven Dictionary Learning	2011	Julien Mairal Francis Bach Jean Ponce	2
+	Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds	2018	Xiaohan Chen Jialin Liu Shuicheng Yan Wotao Yin	2
+ PDF Chat	Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity	2014	Çağdaş Bilen Gilles Puy Rémi Gribonval Laurent Daudet	2
+	Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning.	2019	Bahareh Tolooshams S. Dey Demba E. Ba	2
+ PDF Chat	Identification of Parametric Underspread Linear Systems and Super-Resolution Radar	2011	Waheed U. Bajwa Kfir Gedalyahu Yonina C. Eldar	2
+	Sparse Approximate Solutions to Linear Systems	1995	B. K. Natarajan	2
+	Exact Recovery of Sparsely Used Overcomplete Dictionaries.	2013	Alekh Agarwal Animashree Anandkumar Praneeth Netrapalli	2
+ PDF Chat	Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning	2018	Jeremias Sulam Vardan Papyan Yaniv Romano Michael Elad	2
+	Supervised Dictionary Learning	2008	Julien Mairal Jean Ponce Guillermo Sapiro Andrew Zisserman Francis R. Bach	2
+	The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks	2018	Jonathan Frankle Michael Carbin	2
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	1
+ PDF Chat	Optimization with Sparsity-Inducing Penalties	2011	Francis Bach Rodolphe Jenatton Julien Mairal Guillaume Obozinski	1
+ PDF Chat	Sparse representations in unions of bases	2003	Rémi Gribonval Morten Nielsen	1
+ PDF Chat	Block-Sparse Signals: Uncertainty Relations and Efficient Recovery	2010	Yonina C. Eldar Patrick Kuppinger Helmut Bölcskei	1
+	RIPless compressed sensing from anisotropic measurements	2013	Richard Kueng David Groß	1