Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
5 Publications
2020 | Published | Conference Paper | IST-REx-ID: 18249 | 
Weiss, T., Vedula, S., Senouf, O., Michailovich, O., Zibulevsky, M., & Bronstein, A. M. (2020). Joint learning of cartesian undersampling and reconstruction for accelerated MRI. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, Spain: IEEE. https://doi.org/10.1109/icassp40776.2020.9054542
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 18272
Giryes, R., Eldar, Y. C., Bronstein, A. M., & Sapiro, G. (2018). The learned inexact project gradient descent algorithm. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Calgary, AB, Canada: IEEE. https://doi.org/10.1109/icassp.2018.8462136
View
| DOI
2015 | Published | Conference Paper | IST-REx-ID: 18387
Bian, X., Krim, H., Bronstein, A. M., & Dai, L. (2015). Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). South Brisbane, QLD, Australia: IEEE. https://doi.org/10.1109/icassp.2015.7178678
View
| DOI
2013 | Published | Conference Paper | IST-REx-ID: 18386
Sprechmann, P., Bronstein, A. M., Morel, J.-M., & Sapiro, G. (2013). Audio restoration from multiple copies. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/icassp.2013.6637774
View
| DOI
2013 | Published | Conference Paper | IST-REx-ID: 18385
Sprechmann, P., Bronstein, A. M., Bronstein, M., & Sapiro, G. (2013). Learnable low rank sparse models for speech denoising. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Vancouver, BC, Canada: IEEE. https://doi.org/10.1109/icassp.2013.6637624
View
| DOI