Amir Adler

Orcid: 0000-0002-4536-9413

According to our database1, Amir Adler authored at least 43 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Outliers Detection by Signal Subspace Matching.
IEEE Trans. Signal Process., 2024

Multivariate reduced rank regression by signal subspace matching.
Signal Process., 2024

Localization of brain signals by alternating projection.
Biomed. Signal Process. Control., 2024

Localization of Spatially Extended Brain Sources by Flexible Alternating Projection (FLEX-AP).
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Robust Subspace Tracking by Soft-Projections and Signal Subspace Matching.
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.
J. Comput. Phys., November, 2023

FIR-SIMO channel order determination by invariant-signal-subspace matching.
Digit. Signal Process., April, 2023

Vector Set Classification by Signal Subspace Matching.
IEEE Trans. Inf. Theory, March, 2023

Encoder-Decoder Architecture for 3D Seismic Inversion.
Sensors, 2023

Generative AI for Hate Speech Detection: Evaluation and Findings.
CoRR, 2023

Deep Compressed Learning for 3D Seismic Inversion.
CoRR, 2023

Subspace Outliers Detection by Signal Subspace Matching.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Detection of the Number of Signals in Uniform Arrays by Invariant-Signal-Subspace Matching.
IEEE Trans. Signal Process., 2022

Detection of the Number of Exponentials by Invariant-Signal-Subspace Matching.
IEEE Trans. Inf. Theory, 2022

Character-level HyperNetworks for Hate Speech Detection.
Expert Syst. Appl., 2022

Brain Source Localization by Alternating Projection.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Detection of the Number of Signals by Signal Subspace Matching.
IEEE Trans. Signal Process., 2021

Subspace-Constrained Array Response Estimation in the Presence of Model Errors.
IEEE Trans. Signal Process., 2021

Localization of Multiple Sources in the Presence of Model Errors by Total Least Squares.
IEEE Trans. Aerosp. Electron. Syst., 2021

Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows.
IEEE Signal Process. Mag., 2021

Direction of arrival estimation in the presence of model errors by signal subspace matching.
Signal Process., 2021

MEG Source Localization via Deep Learning.
Sensors, 2021

Towards Hate Speech Detection at Large via Deep Generative Modeling.
IEEE Internet Comput., 2021

Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech.
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.
Signal Process., 2020

2019
Blind Constant Modulus Multiuser Detection via Low-Rank Approximation.
IEEE Signal Process. Lett., 2019

Constant modulus algorithms via low-rank approximation.
Signal Process., 2019

Deep Learning of Compressed Sensing Operators with Structural Similarity Loss.
CoRR, 2019

Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Constant Modulus Beamforming Via Low-Rank Approximation.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017
Constant Modulus Beamforming via Convex Optimization.
CoRR, 2017

Block-based compressed sensing of images via deep learning.
Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

2016
Covariance-Assisted Matching Pursuit.
IEEE Signal Process. Lett., 2016

Compressed Learning: A Deep Neural Network Approach.
CoRR, 2016

A Deep Learning Approach to Block-based Compressed Sensing of Images.
CoRR, 2016

2015
Sparse Coding with Anomaly Detection.
J. Signal Process. Syst., 2015

Linear-Time Subspace Clustering via Bipartite Graph Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2015

2013
Probabilistic Subspace Clustering Via Sparse Representations.
IEEE Signal Process. Lett., 2013

2012
Audio Inpainting.
IEEE Trans. Speech Audio Process., 2012

2011
A constrained matching pursuit approach to audio declipping.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
A weighted discriminative approach for image denoising with overcomplete representations.
Proceedings of the IEEE International Conference on Acoustics, 2010

A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations.
Proceedings of the Computer Vision, 2010

2005
Solving the 24 Puzzle with Instance Dependent Pattern Databases.
Proceedings of the Abstraction, 2005


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