Amir Adler

According to our database, Amir Adler authored at least 39 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Subspace Tracking by Soft-Projections and Signal Subspace Matching.

Mati Wax, Amir Adler

IEEE Trans. Aerosp. Electron. Syst., December, 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., November, 2023

FIR-SIMO channel order determination by invariant-signal-subspace matching.

Mati Wax, Amir Adler

Digit. Signal Process., April, 2023

Vector Set Classification by Signal Subspace Matching.

Mati Wax, Amir Adler

IEEE Trans. Inf. Theory, March, 2023

Encoder-Decoder Architecture for 3D Seismic Inversion.

Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo

Sensors, 2023

Generative AI for Hate Speech Detection: Evaluation and Findings.

Sagi Pendzel, Tomer Wullach, Amir Adler, Einat Minkov

CoRR, 2023

Deep Compressed Learning for 3D Seismic Inversion.

Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo

CoRR, 2023

Subspace Outliers Detection by Signal Subspace Matching.

Mati Wax, Amir Adler

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Detection of the Number of Signals in Uniform Arrays by Invariant-Signal-Subspace Matching.

Mati Wax, Amir Adler

IEEE Trans. Signal Process., 2022

Detection of the Number of Exponentials by Invariant-Signal-Subspace Matching.

Mati Wax, Amir Adler

IEEE Trans. Inf. Theory, 2022

Character-level HyperNetworks for Hate Speech Detection.

Tomer Wullach, Amir Adler, Einat Minkov

Expert Syst. Appl., 2022

Brain Source Localization by Alternating Projection.

Amir Adler, Mati Wax, Dimitrios Pantazis

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Detection of the Number of Signals by Signal Subspace Matching.

Mati Wax, Amir Adler

IEEE Trans. Signal Process., 2021

Subspace-Constrained Array Response Estimation in the Presence of Model Errors.

Mati Wax, Amir Adler

IEEE Trans. Signal Process., 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

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

Direction of arrival estimation in the presence of model errors by signal subspace matching.

Mati Wax, Amir Adler

Signal Process., 2021

MEG Source Localization via Deep Learning.

Dimitrios Pantazis, Amir Adler

Sensors, 2021

Towards Hate Speech Detection at Large via Deep Generative Modeling.

Tomer Wullach, Amir Adler, Einat Minkov

IEEE Internet Comput., 2021

Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech.

Tomer Wullach, Amir Adler, Einat Minkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Localization of multiple sources with known waveforms by array response matching.

Mati Wax, Amir Adler

Signal Process., 2020

2019

Blind Constant Modulus Multiuser Detection via Low-Rank Approximation.

Amir Adler, Mati Wax

IEEE Signal Process. Lett., 2019

Constant modulus algorithms via low-rank approximation.

Amir Adler, Mati Wax

Signal Process., 2019

Deep Learning of Compressed Sensing Operators with Structural Similarity Loss.

Yochai Zur, Amir Adler

CoRR, 2019

Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution.

Amir Adler, Mati Wax

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Constant Modulus Beamforming Via Low-Rank Approximation.

Amir Adler, Mati Wax

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

Constant Modulus Beamforming via Convex Optimization.

Amir Adler, Mati Wax

CoRR, 2017

Block-based compressed sensing of images via deep learning.

Amir Adler, David Boublil, Michael Zibulevsky

Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

2016

Covariance-Assisted Matching Pursuit.

Amir Adler

IEEE Signal Process. Lett., 2016

Compressed Learning: A Deep Neural Network Approach.

Amir Adler, Michael Elad, Michael Zibulevsky

CoRR, 2016

A Deep Learning Approach to Block-based Compressed Sensing of Images.

Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky

CoRR, 2016

2015

Sparse Coding with Anomaly Detection.

Amir Adler, Michael Elad, Yacov Hel-Or, Ehud Rivlin

J. Signal Process. Syst., 2015

Linear-Time Subspace Clustering via Bipartite Graph Modeling.

Amir Adler, Michael Elad, Yacov Hel-Or

IEEE Trans. Neural Networks Learn. Syst., 2015

2013

Probabilistic Subspace Clustering Via Sparse Representations.

Amir Adler, Michael Elad, Yacov Hel-Or

IEEE Signal Process. Lett., 2013

2012

Audio Inpainting.

Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley

IEEE Trans. Speech Audio Process., 2012

2011

A constrained matching pursuit approach to audio declipping.

Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

A weighted discriminative approach for image denoising with overcomplete representations.

Amir Adler, Yacov Hel-Or, Michael Elad

Proceedings of the IEEE International Conference on Acoustics, 2010

A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations.

Amir Adler, Yacov Hel-Or, Michael Elad

Proceedings of the Computer Vision, 2010

2005

Solving the 24 Puzzle with Instance Dependent Pattern Databases.

Ariel Felner, Amir Adler

Proceedings of the Abstraction, 2005