| 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 | 81 | 2020 |
| 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 | 40 | 2020 |
| 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 | 26 | 2020 |
| 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 | 23 | 2018 |
| 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 | 17 | 2017 |
| 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 | 14 | 2019 |
| Stable and interpretable unrolled dictionary learning B Tolooshams, D Ba Transactions on Machine Learning Research (TMLR), 2022 | 11 | 2022 |
| 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 | 10 | 2021 |
| Convolutional dictionary learning in hierarchical networks J Zazo, B Tolooshams, D Ba IEEE 8th International Workshop on Computational Advances in Multi-Sensor …, 2019 | 6 | 2019 |
| 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 | 4 | 2022 |
| Gaussian process convolutional dictionary learning AH Song, B Tolooshams, D Ba IEEE Signal Processing Letters 29, 95-99, 2021 | 3 | 2021 |
| On the convergence of group-sparse autoencoders E Theodosis, B Tolooshams, P Tankala, A Tasissa, D Ba arXiv:2102.07003, 2021 | 2 | 2021 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| Interpretable unrolled dictionary learning networks B Tolooshams, D Ba Conference on the Mathematical Theory of Deep Neural Networks (DeepMath), 2022 | 1 | 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| Convolutional dictionary learning of stimulus from spiking data AH Song, B Tolooshams, S Temereanca, D Ba Computational and Systems Neuroscience (COSYNE), 2020 | 1 | 2020 |
Demba BaHarvardVerified email at seas.harvard.edu
