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Bahareh Tolooshams
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Channel-attention dense u-net for multichannel speech enhancement
B Tolooshams, R Giri, AH Song, U Isik, A Krishnaswamy
IEEE 45th International Conference on Acoustics, Speech, and Signal …, 2020
492020
Deep residual autoencoders for expectation maximization-inspired dictionary learning
B Tolooshams, S Dey, D Ba
IEEE Transactions on Neural Networks and Learning Systems, 2020
292020
Scalable convolutional dictionary learning with constrained recurrent sparse auto-encoders
B Tolooshams, S Dey, D Ba
IEEE 28th International Workshop on Machine Learning for Signal Processing …, 2018
202018
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
B Tolooshams, AH Song, S Temereanca, D Ba
Proceedings of the 37th International Conference on Machine Learning, 2020
182020
Robustness of frequency division technique for online myoelectric pattern recognition against contraction level variation
B Tolooshams, N Jiang
Frontiers in bioengineering and biotechnology 5, 3, 2017
162017
RandNet: deep learning with compressed measurements of images
T Chang, B Tolooshams, D Ba
IEEE 29th International Workshop on Machine Learning for Signal Processing …, 2019
102019
Unfolding neural networks for compressive multichannel blind deconvolution
B Tolooshams, S Mulleti, D Ba, YC Eldar
IEEE 46th International Conference on Acoustics, Speech, and Signal …, 2020
72020
Towards improving discriminative reconstruction via simultaneous dense and sparse coding
A Tasissa, E Theodosis, B Tolooshams, D Ba
arXiv:2006.09534, 2020
4*2020
Convolutional dictionary learning in hierarchical networks
J Zazo, B Tolooshams, D Ba
IEEE 8th International Workshop on Computational Advances in Multi-Sensor …, 2019
42019
Stable and interpretable unrolled dictionary learning
B Tolooshams, D Ba
Transactions on Machine Learning Research (TMLR), 2022
2*2022
Gaussian process convolutional dictionary learning
AH Song, B Tolooshams, D Ba
IEEE Signal Processing Letters, 2021
22021
Learning filter-based compressed blind-deconvolution
B Tolooshams, S Mulleti, D Ba, YC Eldar
arXiv:2209.14165, 2022
12022
On the convergence of group-sparse autoencoders
E Theodosis, B Tolooshams, P Tankala, A Tasissa, D Ba
arXiv:2102.07003, 2021
12021
Interpretable deep learning for deconvolution of multiplexed neural signals
B Tolooshams, S Matias, H Wu, N Uchida, VN Murthy, P Masset, D Ba
Computational and Systems Neuroscience (COSYNE), 2023
2023
Interpretable unrolled dictionary learning networks
B Tolooshams, D Ba
Conference on the Mathematical Theory of Deep Neural Networks (DeepMath), 2022
2022
Unsupervised sparse deconvolutional learning of features driving neural activity
B Tolooshams, H Wu, N Uchida, VN Murthy, P Masset, D Ba
Computational and Systems Neuroscience (COSYNE), 2022
2022
A training framework for stereo-aware speech enhancement using deep neural networks
B Tolooshams, K Koishida
IEEE 47th International Conference on Acoustics, Speech, and Signal …, 2021
2021
Unsupervised learning of a dictionary of neural impulse responses from spiking data
B Tolooshams, H Wu, P Masset, VN Murthy, D Ba
Computational and Systems Neuroscience (COSYNE), 2021
2021
Convolutional dictionary learning of stimulus from spiking data
AH Song, B Tolooshams, S Temereanca, D Ba
Computational and Systems Neuroscience (COSYNE), 2020
2020
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Articles 1–19