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2020 – today
- 2023
[j21]Mati Wax, Amir Adler
:
FIR-SIMO channel order determination by invariant-signal-subspace matching. Digit. Signal Process. 134: 103914 (2023)- [j20]Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo:
Encoder-Decoder Architecture for 3D Seismic Inversion. Sensors 23(1): 61 (2023) - [j19]Mati Wax, Amir Adler:
Vector Set Classification by Signal Subspace Matching. IEEE Trans. Inf. Theory 69(3): 1853-1865 (2023) - 2022
- [j18]Tomer Wullach, Amir Adler, Einat Minkov:
Character-level HyperNetworks for Hate Speech Detection. Expert Syst. Appl. 205: 117571 (2022) - [j17]Mati Wax, Amir Adler:
Detection of the Number of Exponentials by Invariant-Signal-Subspace Matching. IEEE Trans. Inf. Theory 68(7): 4892-4900 (2022) - [j16]Mati Wax, Amir Adler:
Detection of the Number of Signals in Uniform Arrays by Invariant-Signal-Subspace Matching. IEEE Trans. Signal Process. 70: 1270-1281 (2022) - [c10]Amir Adler, Mati Wax, Dimitrios Pantazis:
Brain Source Localization by Alternating Projection. ISBI 2022: 1-5 - [i8]Maayan Gelboim, Amir Adler, Yen Sun, Mauricio Araya-Polo:
Encoder-Decoder Architecture for 3D Seismic Inversion. CoRR abs/2207.14789 (2022) - 2021
- [j15]Tomer Wullach, Amir Adler, Einat Minkov:
Towards Hate Speech Detection at Large via Deep Generative Modeling. IEEE Internet Comput. 25(2): 48-57 (2021) - [j14]Dimitrios Pantazis, Amir Adler:
MEG Source Localization via Deep Learning. Sensors 21(13): 4278 (2021) - [j13]Mati Wax, Amir Adler:
Direction of arrival estimation in the presence of model errors by signal subspace matching. Signal Process. 181: 107900 (2021) - [j12]Amir Adler, Mauricio Araya-Polo, Tomaso A. Poggio:
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows. IEEE Signal Process. Mag. 38(2): 89-119 (2021) - [j11]Mati Wax, Amir Adler:
Localization of Multiple Sources in the Presence of Model Errors by Total Least Squares. IEEE Trans. Aerosp. Electron. Syst. 57(3): 1949-1955 (2021) - [j10]Mati Wax, Amir Adler:
Subspace-Constrained Array Response Estimation in the Presence of Model Errors. IEEE Trans. Signal Process. 69: 417-427 (2021) - [j9]Mati Wax, Amir Adler:
Detection of the Number of Signals by Signal Subspace Matching. IEEE Trans. Signal Process. 69: 973-985 (2021) - [c9]Tomer Wullach, Amir Adler, Einat Minkov:
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech. EMNLP (Findings) 2021: 4699-4705 - [i7]Tomer Wullach, Amir Adler, Einat Minkov:
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech. CoRR abs/2109.00591 (2021) - [i6]Tomer Wullach, Amir Adler, Einat Minkov:
Character-level HyperNetworks for Hate Speech Detection. CoRR abs/2111.06336 (2021) - 2020
- [j8]Mati Wax, Amir Adler:
Localization of multiple sources with known waveforms by array response matching. Signal Process. 177: 107721 (2020) - [i5]Tomer Wullach, Amir Adler, Einat Minkov:
Towards Hate Speech Detection at Large via Deep Generative Modeling. CoRR abs/2005.06370 (2020)
2010 – 2019
- 2019
- [j7]Amir Adler, Mati Wax:
Constant modulus algorithms via low-rank approximation. Signal Process. 160: 263-270 (2019) - [j6]Amir Adler, Mati Wax:
Blind Constant Modulus Multiuser Detection via Low-Rank Approximation. IEEE Signal Process. Lett. 26(9): 1290-1294 (2019) - [c8]Amir Adler, Mati Wax:
Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution. EUSIPCO 2019: 1-5 - [i4]Yochai Zur, Amir Adler:
Deep Learning of Compressed Sensing Operators with Structural Similarity Loss. CoRR abs/1906.10411 (2019) - 2018
- [c7]Amir Adler, Mati Wax:
Constant Modulus Beamforming Via Low-Rank Approximation. SSP 2018: 776-780 - 2017
- [c6]Amir Adler, David Boublil, Michael Zibulevsky:
Block-based compressed sensing of images via deep learning. MMSP 2017: 1-6 - [i3]Amir Adler, Mati Wax:
Constant Modulus Beamforming via Convex Optimization. CoRR abs/1704.03004 (2017) - 2016
- [j5]Amir Adler:
Covariance-Assisted Matching Pursuit. IEEE Signal Process. Lett. 23(1): 149-153 (2016) - [i2]Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky:
A Deep Learning Approach to Block-based Compressed Sensing of Images. CoRR abs/1606.01519 (2016) - [i1]Amir Adler, Michael Elad, Michael Zibulevsky:
Compressed Learning: A Deep Neural Network Approach. CoRR abs/1610.09615 (2016) - 2015
- [j4]Amir Adler, Michael Elad, Yacov Hel-Or:
Linear-Time Subspace Clustering via Bipartite Graph Modeling. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2234-2246 (2015) - [j3]Amir Adler, Michael Elad, Yacov Hel-Or, Ehud Rivlin:
Sparse Coding with Anomaly Detection. J. Signal Process. Syst. 79(2): 179-188 (2015) - 2013
- [j2]Amir Adler, Michael Elad, Yacov Hel-Or:
Probabilistic Subspace Clustering Via Sparse Representations. IEEE Signal Process. Lett. 20(1): 63-66 (2013) - [c5]Amir Adler, Michael Elad, Yacov Hel-Or, Ehud Rivlin:
Sparse coding with anomaly detection. MLSP 2013: 1-6 - 2012
- [j1]Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley:
Audio Inpainting. IEEE Trans. Speech Audio Process. 20(3): 922-932 (2012) - 2011
- [c4]Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley:
A constrained matching pursuit approach to audio declipping. ICASSP 2011: 329-332 - 2010
- [c3]Amir Adler, Yacov Hel-Or, Michael Elad:
A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations. ECCV (2) 2010: 622-635 - [c2]Amir Adler, Yacov Hel-Or, Michael Elad:
A weighted discriminative approach for image denoising with overcomplete representations. ICASSP 2010: 782-785
2000 – 2009
- 2005
- [c1]Ariel Felner, Amir Adler:
Solving the 24 Puzzle with Instance Dependent Pattern Databases. SARA 2005: 248-260
Coauthor Index
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last updated on 2023-03-30 01:19 CEST by the dblp team
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