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Bahareh Tolooshams
Bahareh Tolooshams
Postdoctoral fellow, Caltech
Verified email at caltech.edu - Homepage
Title
Cited by
Cited by
Year
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
832020
Deep residual autoencoders for expectation maximization-inspired dictionary learning
B Tolooshams, S Dey, D Ba
IEEE Transactions on neural networks and learning systems 32 (6), 2415-2429, 2020
402020
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions
B Tolooshams, A Song, S Temereanca, D Ba
International Conference on Machine Learning, 9493-9503, 2020
262020
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
232018
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
172017
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
142019
Stable and interpretable unrolled dictionary learning
B Tolooshams, D Ba
Transactions on Machine Learning Research (TMLR), 2022
122022
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 …, 2021
102021
Convolutional dictionary learning in hierarchical networks
J Zazo, B Tolooshams, D Ba
IEEE 8th International Workshop on Computational Advances in Multi-Sensor …, 2019
62019
Towards improving discriminative reconstruction via simultaneous dense and sparse coding
A Tasissa, E Theodosis, B Tolooshams, D Ba
arXiv:2006.09534, 2020
5*2020
Unrolled compressed blind-deconvolution
B Tolooshams, S Mulleti, D Ba, YC Eldar
IEEE Transactions on Signal Processing, 2023
4*2023
A training framework for stereo-aware speech enhancement using deep neural networks
B Toloosham, K Koishida
IEEE 47th International Conference on Acoustics, Speech, and Signal …, 2022
42022
Gaussian process convolutional dictionary learning
AH Song, B Tolooshams, D Ba
IEEE Signal Processing Letters 29, 95-99, 2021
32021
On the convergence of group-sparse autoencoders
E Theodosis, B Tolooshams, P Tankala, A Tasissa, D Ba
arXiv:2102.07003, 2021
22021
Probabilistic unrolling: scalable, inverse-free maximum likelihood estimation for latent gaussian models
A Lin, B Tolooshams, Y Atchadé, D Ba
International Conference on Machine Learning, 2023
12023
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
12023
Interpretable unrolled dictionary learning networks
B Tolooshams, D Ba
Conference on the Mathematical Theory of Deep Neural Networks (DeepMath), 2022
12022
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
12022
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
12021
Convolutional dictionary learning of stimulus from spiking data
AH Song, B Tolooshams, S Temereanca, D Ba
Computational and Systems Neuroscience (COSYNE), 2020
12020
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