Adler A., Hel-Or Y., Elad M..  2010.  A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. European Conference on Computer Vision (ECCV) . :622-635.

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Adler A., Hel-Or Y., Elad M..  2010.  A weighted discriminative approach for image denoising with overcomplete representations. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :782-785.

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Adler A., Emiya V., Jafari M.G, Elad M., Gribonval R., Plumbley M.D.  2011.  A constrained matching pursuit approach to audio declipping. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :329-332.

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Adler A., Emiya V., Jafari M.G, Elad M., Gribonval R., Plumbley M.D.  2012.  Audio Inpainting. IEEE Transactions on Audio, Speech, and Language Processing. 20(3):922-932.

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Adler A., Elad M., Hel-Or Y..  2013.  Probabilistic Subspace Clustering Via Sparse Representations. IEEE Signal Processing Letters. 20(1):63-66.

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Adler A., Elad M., Hel-Or Y..  2015.  Linear-Time Subspace Clustering via Bipartite Graph Modeling. IEEE Transactions on Neural Networks and Learning Systems. 26(10):2234-2246.

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Adler A., Elad M., Hel-Or Y., Rivlin E..  2015.  Sparse Coding with Anomaly Detection. Journal of Signal Processing Systems, Springer. 79(2):179–188.

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Adler A..  2016.  Covariance-Assisted Matching Pursuit. IEEE Signal Processing Letters. 23(1):149-153.

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Adler A., Boublil D., Zibulevsky M..  2017.  Block-based compressed sensing of images via deep learning. IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).

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Adler A., Elad M., Zibulevsky M..  2017.  Compressed Learning: A Deep Neural Network Approach. Signal Processing with Adaptive Sparse Structured Representations (SPARS).

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Zisselman E., Adler A., Elad M..  2018.  Compressed Learning for Image Classification: A Deep Neural Network Approach. Handbook of Numerical Analysis. 19:3-17.

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Adler A., Wax M..  2018.  Constant Modulus Beamforming Via Low-Rank Approximation. IEEE Statistical Signal Processing Workshop (SSP). :776-780.

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Araya-Polo M., Jennings J., Adler A., Dahlke T..  2018.  Deep Learning Tomography. The Leading Edge. 37(1):58–66.

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Adler A., Wax M..  2019.  Blind Constant Modulus Multiuser Detection via Low-Rank Approximation. IEEE Signal Processing Letters. 26(9):1290-1294.

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Adler A., Wax M..  2019.  Constant Modulus Algorithms via Low-Rank Approximation. Signal Processing. 160(7):263-270.

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Adler A., Araya-Polo M., Poggio T..  2019.  Deep Recurrent Architectures for Seismic Tomography. 81st EAGE Conference and Exhibition.

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Adler A., Wax M..  2019.  Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution. 27th European Conference on Signal Processing (EUSIPCO).

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Araya-Polo M., Adler A., .Farris S, Jennings J..  2020.  Fast and Accurate Seismic Tomography via Deep Learning. Deep Learning: Algorithms and Applications. :129-156.

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Wax M., Adler A..  2020.  Localization of Multiple Sources With Known Waveforms by Array Response Matching. Signal Processing.

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Wax M., Adler A..  2020.  Subspace-Constrained Array Response Estimation in the Presence of Model Errors. IEEE Transactions on Signal Processing. 69:417-427.

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Wullach T., Adler A., Minkov E..  2020.  Towards Hate Speech Detection at Large via Deep Generative Modeling. IEEE Internet Computing.

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Drozda L., Mohanamuraly P., Realpe Y., Lapeyre C., Adler A., Daviller G., Poinsot T..  2021.  Data-driven Taylor-Galerkin Finite-Element Scheme for Convection Problems. NeurIPS Workshops .

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Adler A., Araya-Polo M., Poggio T..  2021.  Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows. IEEE Signal Processing Magazine. 38(2):89-119.

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Wax M., Adler A..  2021.  Detection of the Number of Signals by Signal Subspace Matching. IEEE Transactions on Signal Processing. 69:973-985.

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Wax M., Adler A..  2021.  Direction of Arrival Estimation in the Presence of Model Errors by Signal Subspace Matching. Signal Processing. 181(4)

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