Solving the 24 Puzzle with Instance Dependent Pattern Databases. - Ariel Felner; Amir Adler (SARA, 2005)

A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. - Amir Adler; Yacov Hel-Or; Michael Elad (ECCV (2), 2010)

A weighted discriminative approach for image denoising with overcomplete representations. - Amir Adler; Yacov Hel-Or; Michael Elad (ICASSP, 2010)

A constrained matching pursuit approach to audio declipping. - Amir Adler; Valentin Emiya; Maria G. Jafari; Michael Elad; Rémi Gribonval; Mark D. Plumbley (ICASSP, 2011)

Audio Inpainting. - Amir Adler; Valentin Emiya; Maria G. Jafari; Michael Elad; Rémi Gribonval; Mark D. Plumbley (IEEE Trans. Speech Audio Process., 2012)

Probabilistic Subspace Clustering Via Sparse Representations. - Amir Adler; Michael Elad; Yacov Hel-Or (IEEE Signal Process. Lett., 2013)

Linear-Time Subspace Clustering via Bipartite Graph Modeling. - Amir Adler; Michael Elad; Yacov Hel-Or (IEEE Trans. Neural Networks Learn. Syst., 2015)

Sparse Coding with Anomaly Detection. - Amir Adler; Michael Elad; Yacov Hel-Or; Ehud Rivlin (J. Signal Process. Syst., 2015)

A Deep Learning Approach to Block-based Compressed Sensing of Images. - Amir Adler; David Boublil; Michael Elad; Michael Zibulevsky (CoRR, 2016)

Compressed Learning: A Deep Neural Network Approach. - Amir Adler; Michael Elad; Michael Zibulevsky (CoRR, 2016)

Covariance-Assisted Matching Pursuit. - Amir Adler (IEEE Signal Process. Lett., 2016)

Block-based compressed sensing of images via deep learning. - Amir Adler; David Boublil; Michael Zibulevsky (MMSP, 2017)

Constant Modulus Beamforming via Convex Optimization. - Amir Adler; Mati Wax (CoRR, 2017)

Constant Modulus Beamforming Via Low-Rank Approximation. - Amir Adler; Mati Wax (SSP, 2018)

Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution. - Amir Adler; Mati Wax (EUSIPCO, 2019)

Deep Learning of Compressed Sensing Operators with Structural Similarity Loss. - Yochai Zur; Amir Adler (CoRR, 2019)

Constant modulus algorithms via low-rank approximation. - Amir Adler; Mati Wax (Signal Process., 2019)

Blind Constant Modulus Multiuser Detection via Low-Rank Approximation. - Amir Adler; Mati Wax (IEEE Signal Process. Lett., 2019)

Localization of multiple sources with known waveforms by array response matching. - Mati Wax; Amir Adler (Signal Process., 2020)

Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech. - Tomer Wullach; Amir Adler; Einat Minkov (EMNLP (Findings), 2021)

Towards Hate Speech Detection at Large via Deep Generative Modeling. - Tomer Wullach; Amir Adler; Einat Minkov (IEEE Internet Comput., 2021)

MEG Source Localization via Deep Learning. - Dimitrios Pantazis; Amir Adler (Sensors, 2021)

Direction of arrival estimation in the presence of model errors by signal subspace matching. - Mati Wax; Amir Adler (Signal Process., 2021)

Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows. - Amir Adler; Mauricio Araya-Polo; Tomaso A. Poggio (IEEE Signal Process. Mag., 2021)

Localization of Multiple Sources in the Presence of Model Errors by Total Least Squares. - Mati Wax; Amir Adler (IEEE Trans. Aerosp. Electron. Syst., 2021)

Subspace-Constrained Array Response Estimation in the Presence of Model Errors. - Mati Wax; Amir Adler (IEEE Trans. Signal Process., 2021)

Detection of the Number of Signals by Signal Subspace Matching. - Mati Wax; Amir Adler (IEEE Trans. Signal Process., 2021)

Brain Source Localization by Alternating Projection. - Amir Adler; Mati Wax; Dimitrios Pantazis (ISBI, 2022)

Character-level HyperNetworks for Hate Speech Detection. - Tomer Wullach; Amir Adler; Einat Minkov (Expert Syst. Appl., 2022)

Detection of the Number of Exponentials by Invariant-Signal-Subspace Matching. - Mati Wax; Amir Adler (IEEE Trans. Inf. Theory, 2022)

Detection of the Number of Signals in Uniform Arrays by Invariant-Signal-Subspace Matching. - Mati Wax; Amir Adler (IEEE Trans. Signal Process., 2022)

Subspace Outliers Detection by Signal Subspace Matching. - Mati Wax; Amir Adler (EUSIPCO, 2023)

Deep Compressed Learning for 3D Seismic Inversion. - Maayan Gelboim; Amir Adler; Yen Sun; Mauricio Araya-Polo (CoRR, 2023)

Generative AI for Hate Speech Detection: Evaluation and Findings. - Sagi Pendzel; Tomer Wullach; Amir Adler; Einat Minkov (CoRR, 2023)

Encoder-Decoder Architecture for 3D Seismic Inversion. - Maayan Gelboim; Amir Adler; Yen Sun; Mauricio Araya-Polo (Sensors, 2023)

Vector Set Classification by Signal Subspace Matching. - Mati Wax; Amir Adler (IEEE Trans. Inf. Theory, 2023)

FIR-SIMO channel order determination by invariant-signal-subspace matching. - Mati Wax; Amir Adler (Digit. Signal Process., 2023)

Learning an optimised stable Taylor-Galerkin convection scheme based on a local spectral model for the numerical error dynamics. - Luciano Drozda; Pavanakumar Mohanamuraly; Lionel Cheng; Corentin Lapeyre; Guillaume Daviller; Yuval Realpe; Amir Adler; Gabriel Staffelbach; Thierry Poinsot (J. Comput. Phys., 2023)

Robust Subspace Tracking by Soft-Projections and Signal Subspace Matching. - Mati Wax; Amir Adler (IEEE Trans. Aerosp. Electron. Syst., 2023)

Localization of Spatially Extended Brain Sources by Flexible Alternating Projection (FLEX-AP). - Lukas Hecker; Amita Giri; Dimitrios Pantazis; Amir Adler (ISBI, 2024)

Localization of brain signals by alternating projection. - Amir Adler; Mati Wax; Dimitrios Pantazis (Biomed. Signal Process. Control., 2024)

Multivariate reduced rank regression by signal subspace matching. - Mati Wax; Amir Adler (Signal Process., 2024)

Outliers Detection by Signal Subspace Matching. - Mati Wax; Amir Adler (IEEE Trans. Signal Process., 2024)

Localization of Brain Signals by Signal Subspace Matching. - Lukas Hecker; Amir Adler; Dimitrios Pantazis; Mati Wax; Amita Giri (ISBI, 2025)

Extending the machine-learned optimised stable Taylor-Galerkin scheme to solve the Burgers' equation. - Pavanakumar Mohanamuraly; Corentin Lapeyre; Guillaume Daviller; Amir Adler; Gabriel Staffelbach (J. Comput. Phys., 2025)

Flexible Alternating Projection for Spatially Extended Brain Source Localization. - Lukas Hecker; Amita Giri; Dimitrios Pantazis; Amir Adler (IEEE Trans. Biomed. Eng., 2025)