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

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

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

Channel-Attention Dense U-Net for Multichannel Speech Enhancement. - Bahareh Tolooshams; Ritwik Giri; Andrew H. Song; Umut Isik; Arvindh Krishnaswamy (ICASSP, 2020)

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)

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

On the convergence of group-sparse autoencoders. - Emmanouil Theodosis; Bahareh Tolooshams; Pranay Tankala; Abiy Tasissa; 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)

A Training Framework for Stereo-Aware Speech Enhancement Using Deep Neural Networks. - Bahareh Tolooshams; Kazuhito Koishida (ICASSP, 2022)

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

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

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

Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems. - Freya Shah; Taylor L. Patti; Julius Berner; Bahareh Tolooshams; Jean Kossaifi; Anima Anandkumar (CoRR, 2024)

Unifying Subsampling Pattern Variations for Compressed Sensing MRI with Neural Operators. - Armeet Singh Jatyani; Jiayun Wang; Zihui Wu; Miguel Liu-Schiaffini; Bahareh Tolooshams; Anima Anandkumar (CoRR, 2024)

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

A Unified Model for Compressed Sensing MRI Across Undersampling Patterns. - Armeet Singh Jatyani; Jiayun Wang; Aditi Chandrashekar; Zihui Wu; Miguel Liu-Schiaffini; Bahareh Tolooshams; Anima Anandkumar (CVPR, 2025)

Diffusion State-Guided Projected Gradient for Inverse Problems. - Rayhan Zirvi; Bahareh Tolooshams; Anima Anandkumar (ICLR, 2025)

Ultrasound Lung Aeration Map via Physics-Aware Neural Operators. - Jiayun Wang; Oleksii Ostras; Masashi Sode; Bahareh Tolooshams; Zongyi Li; Kamyar Azizzadenesheli; Gianmarco Pinton; Anima Anandkumar (CoRR, 2025)

EquiReg: Equivariance Regularized Diffusion for Inverse Problems. - Bahareh Tolooshams; Aditi Chandrashekar; Rayhan Zirvi; Abbas Mammadov; Jiachen Yao; Chuwei Wang; Anima Anandkumar (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)

NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models. - Luca Ghafourpour; Valentin Duruisseaux; Bahareh Tolooshams; Philip H. Wong; Costas A. Anastassiou; Anima Anandkumar (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)