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Bahareh Tolooshams
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Journal Articles
- 2023
- [j4]Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar:
Unrolled Compressed Blind-Deconvolution. IEEE Trans. Signal Process. 71: 2118-2129 (2023) - 2022
- [j3]Andrew H. Song, Bahareh Tolooshams, Demba E. Ba:
Gaussian Process Convolutional Dictionary Learning. IEEE Signal Process. Lett. 29: 95-99 (2022) - [j2]Bahareh Tolooshams, Demba E. Ba:
Stable and Interpretable Unrolled Dictionary Learning. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [j1]Bahareh Tolooshams, Sourav Dey, Demba E. Ba:
Deep Residual Autoencoders for Expectation Maximization-Inspired Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2415-2429 (2021)
Conference and Workshop Papers
- 2023
- [c8]Alexander Lin, Bahareh Tolooshams, Yves F. Atchadé, Demba E. Ba:
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. ICML 2023: 21153-21181 - 2022
- [c7]Bahareh Tolooshams, Kazuhito Koishida:
A Training Framework for Stereo-Aware Speech Enhancement Using Deep Neural Networks. ICASSP 2022: 6962-6966 - 2021
- [c6]Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar:
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. ICASSP 2021: 2890-2894 - 2020
- [c5]Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy:
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. ICASSP 2020: 836-840 - [c4]Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba:
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions. ICML 2020: 9493-9503 - 2019
- [c3]Javier Zazo, Bahareh Tolooshams, Demba E. Ba:
Convolutional Dictionary Learning in Hierarchical Networks. CAMSAP 2019: 131-135 - [c2]Thomas Chang, Bahareh Tolooshams, Demba E. Ba:
Randnet: Deep Learning with Compressed Measurements of Images. MLSP 2019: 1-6 - 2018
- [c1]Bahareh Tolooshams, Sourav Dey, Demba E. Ba:
Scalable Convolutional Dictionary Learning with constrained Recurrent Sparse Auto-encoders. MLSP 2018: 1-6
Informal and Other Publications
- 2024
- [i15]Freya Shah, Taylor L. Patti, Julius Berner, Bahareh Tolooshams, Jean Kossaifi, Anima Anandkumar:
Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems. CoRR abs/2409.03302 (2024) - 2023
- [i14]Alexander Lin, Bahareh Tolooshams, Yves F. Atchadé, Demba E. Ba:
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models. CoRR abs/2306.03249 (2023) - 2022
- [i13]Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar:
Learning Filter-Based Compressed Blind-Deconvolution. CoRR abs/2209.14165 (2022) - 2021
- [i12]Emmanouil Theodosis, Bahareh Tolooshams, Pranay Tankala, Abiy Tasissa, Demba E. Ba:
On the convergence of group-sparse autoencoders. CoRR abs/2102.07003 (2021) - [i11]Andrew H. Song, Bahareh Tolooshams, Demba E. Ba:
Gaussian Process Convolutional Dictionary Learning. CoRR abs/2104.00530 (2021) - [i10]Bahareh Tolooshams, Demba E. Ba:
PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation. CoRR abs/2106.00058 (2021) - [i9]Bahareh Tolooshams, Kazuhito Koishida:
A Training Framework for Stereo-Aware Speech Enhancement using Deep Neural Networks. CoRR abs/2112.04939 (2021) - 2020
- [i8]Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy:
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. CoRR abs/2001.11542 (2020) - [i7]Abiy Tasissa, Emmanouil Theodosis, Bahareh Tolooshams, Demba E. Ba:
Dense and Sparse Coding: Theory and Architectures. CoRR abs/2006.09534 (2020) - [i6]Bahareh Tolooshams, Satish Mulleti, Demba E. Ba, Yonina C. Eldar:
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution. CoRR abs/2010.11391 (2020) - 2019
- [i5]Bahareh Tolooshams, Sourav Dey, Demba E. Ba:
Deep Residual Auto-Encoders for Expectation Maximization-based Dictionary Learning. CoRR abs/1904.08827 (2019) - [i4]Bahareh Tolooshams, Andrew H. Song, Simona Temereanca, Demba E. Ba:
Deep Exponential-Family Auto-Encoders. CoRR abs/1907.03211 (2019) - [i3]Javier Zazo, Bahareh Tolooshams, Demba E. Ba:
Convolutional Dictionary Learning in Hierarchical Networks. CoRR abs/1907.09881 (2019) - [i2]Thomas Chang, Bahareh Tolooshams, Demba E. Ba:
RandNet: deep learning with compressed measurements of images. CoRR abs/1908.09258 (2019) - 2018
- [i1]Bahareh Tolooshams, Sourav Dey, Demba E. Ba:
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders. CoRR abs/1807.04734 (2018)
Coauthor Index
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