Bahareh Tolooshams

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 26

Top Topics

Gaussian Process

Speech Enhancement

Maximum Likelihood

Top Venues

Publications

Alexander Lin, Bahareh Tolooshams, Yves Atchadé, Demba Ba
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. CoRR (2023)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unrolled Compressed Blind-Deconvolution. IEEE Trans. Signal Process. 71 (2023)
Alexander Lin, Bahareh Tolooshams, Yves Atchadé, Demba E. Ba
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. ICML (2023)
Bahareh Tolooshams, Demba E. Ba
Stable and Interpretable Unrolled Dictionary Learning. Trans. Mach. Learn. Res. 2022 (2022)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Learning Filter-Based Compressed Blind-Deconvolution. CoRR (2022)
Andrew H. Song, Bahareh Tolooshams, Demba E. Ba
Gaussian Process Convolutional Dictionary Learning. IEEE Signal Process. Lett. 29 (2022)
Bahareh Tolooshams, Kazuhito Koishida
A Training Framework for Stereo-Aware Speech Enhancement Using Deep Neural Networks. ICASSP (2022)
Bahareh Tolooshams, Kazuhito Koishida
A Training Framework for Stereo-Aware Speech Enhancement using Deep Neural Networks. CoRR (2021)
Bahareh Tolooshams, Sourav Dey, Demba E. Ba
Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Bahareh Tolooshams, Demba E. Ba
PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. CoRR (2021)
Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala, Abiy Tasissa, Demba E. Ba
On the convergence of group-sparse autoencoders. CoRR (2021)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. ICASSP (2021)
Andrew H. Song, Bahareh Tolooshams, Demba E. Ba
Gaussian Process Convolutional Dictionary Learning. CoRR (2021)
Abiy Tasissa, Emmanouil Theodosis, Bahareh Tolooshams, Demba E. Ba
Dense and Sparse Coding: Theory and Architectures. CoRR (2020)
Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. CoRR (2020)
Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. CoRR (2020)
Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions. ICML (2020)
Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. ICASSP (2020)
Javier Zazo, Bahareh Tolooshams, Demba E. Ba
Convolutional Dictionary Learning in Hierarchical Networks. CAMSAP (2019)
Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba
Deep Exponential-Family Auto-Encoders. CoRR (2019)
Thomas Chang, Bahareh Tolooshams, Demba E. Ba
Randnet: Deep Learning with Compressed Measurements of Images. MLSP (2019)
Javier Zazo, Bahareh Tolooshams, Demba E. Ba
Convolutional Dictionary Learning in Hierarchical Networks. CoRR (2019)
Thomas Chang, Bahareh Tolooshams, Demba E. Ba
RandNet: deep learning with compressed measurements of images. CoRR (2019)
Bahareh Tolooshams, Sourav Dey, Demba E. Ba
Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning. CoRR (2019)
Bahareh Tolooshams, Sourav Dey, Demba E. Ba
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders. CoRR (2018)
Bahareh Tolooshams, Sourav Dey, Demba E. Ba
Scalable Convolutional Dictionary Learning with constrained Recurrent Sparse Auto-encoders. MLSP (2018)