Extension of the "Sequentially Drilled" Joint Congruence transformation (SeDJoCo) problem. - Yao Cheng 001; Arie Yeredor; Amir Weiss; Martin Haardt (CAMSAP, 2015)

First-order perturbation analysis of low-rank tensor approximations based on the truncated HOSVD. - Emilio Rafael Balda; Sher Ali Cheema; Jens Steinwandt; Martin Haardt; Amir Weiss; Arie Yeredor (ACSSC, 2016)

Analytical performance analysis of the Semi-Algebraic framework for approximate CP decompositions via SImultaneous matrix diagonalizations (SECSI). - Sher Ali Cheema; Emilio Rafael Balda; Amir Weiss; Arie Yeredor; Martin Haardt (ACSSC, 2017)

Performance analysis of least-squares khatri-rao factorization. - Yao Cheng 001; Sher Ali Cheema; Martin Haardt; Amir Weiss; Arie Yeredor (CAMSAP, 2017)

Perturbation analysis of Joint Eigenvalue Decomposition Algorithms. - Emilio Rafael Balda; Sher Ali Cheema; Amir Weiss; Arie Yeredor; Martin Haardt (ICASSP, 2017)

A Maximum Likelihood "identification-correction" scheme of sub-optimal "SeDJoCo" solutions for semi-Blind Source Separation. - Amir Weiss; Arie Yeredor; Sher Ali Cheema; Martin Haardt (ICASSP, 2017)

First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors. - Sher Ali Cheema; Emilio Rafael Balda; Yao Cheng 001; Martin Haardt; Amir Weiss; Arie Yeredor (CoRR, 2017)

The Extended "Sequentially Drilled" Joint Congruence Transformation and Its Application in Gaussian Independent Vector Analysis. - Amir Weiss; Arie Yeredor; Sher Ali Cheema; Martin Haardt (IEEE Trans. Signal Process., 2017)

First-Order Perturbation Analysis of Secsi With Generalized Unfoldings. - Yao Cheng 001; Sher Ali Cheema; Martin Haardt; Amir Weiss; Arie Yeredor (ICASSP, 2018)

Non-Iterative Missing Samples Recovery of ECG Signals by Lmmse Estimation for an Autoregressive Cyclostationary Model. - Amir Weiss; Arie Yeredor (ICASSP, 2018)

On Consistency and Asymptotic Uniqueness in Quasi-Maximum Likelihood Blind Separation of Temporally-Diverse Sources. - Amir Weiss; Arie Yeredor; Sher Ali Cheema; Martin Haardt (ICASSP, 2018)

Bounds on Passive Tdoa Estimation in Mixtures. - Amir Weiss; Arie Yeredor (SSP, 2018)

Performance Analysis of the Gaussian Quasi-Maximum Likelihood Approach for Independent Vector Analysis. - Amir Weiss; Sher Ali Cheema; Martin Haardt; Arie Yeredor (IEEE Trans. Signal Process., 2018)

High-Order Analysis of the Efficiency Gap for Maximum Likelihood Estimation in Nonlinear Gaussian Models. - Arie Yeredor; Amir Weiss; Anthony J. Weiss (IEEE Trans. Signal Process., 2018)

Blind Calibration of Sensor Arrays for Narrowband Signals with Asymptotically Optimal Weighting. - Amir Weiss; Arie Yeredor (EUSIPCO, 2019)

Asymptotically Optimal Recovery of Gaussian Sources from Noisy Stationary Mixtures: the Least-noisy Maximally-separating Solution. - Amir Weiss; Arie Yeredor (ICASSP, 2019)

Blind Determination of the Number of Sources Using Distance Correlation. - Amir Weiss; Arie Yeredor (IEEE Signal Process. Lett., 2019)

A Maximum Likelihood-Based Minimum Mean Square Error Separation and Estimation of Stationary Gaussian Sources From Noisy Mixtures. - Amir Weiss; Arie Yeredor (IEEE Trans. Signal Process., 2019)

Exact Algebraic Blind Source Separation Using Side Information. - Amir Weiss; Arie Yeredor (EUSIPCO, 2020)

Asymptotically Optimal Blind Calibration of Acoustic Vector Sensor Uniform Linear Arrays. - Amir Weiss; Boaz Nadler; Arie Yeredor (ICASSP, 2020)

Asymptotically Optimal Blind Calibration of Uniform Linear Sensor Arrays for Narrowband Gaussian Signals. - Amir Weiss; Arie Yeredor (IEEE Trans. Signal Process., 2020)

Enhanced Blind Calibration of Uniform Linear Arrays with One-Bit Quantization by Kullback-Leibler Divergence Covariance Fitting. - Amir Weiss; Arie Yeredor (ICASSP, 2021)

Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting. - Amir Weiss; Arie Yeredor (ICASSP, 2021)

One-Bit Direct Position Determination of Narrowband Gaussian Signals. - Amir Weiss; Gregory W. Wornell (SSP, 2021)

Improved Filtering Techniques for Single- and Multi-Trace Side-Channel Analysis. - Dor Salomon; Amir Weiss; Itamar Levi (Cryptogr., 2021)

Blind Direction-of-Arrival Estimation in Acoustic Vector-Sensor Arrays via Tensor Decomposition and Kullback-Leibler Divergence Covariance Fitting. - Amir Weiss (IEEE Trans. Signal Process., 2021)

Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals. - Alejandro Lancho; Amir Weiss; Gary C. F. Lee; Jennifer Tang; Yuheng Bu; Yury Polyanskiy; Gregory W. Wornell (GLOBECOM, 2022)

Blind Modulo Analog-to-Digital Conversion of Vector Processes. - Amir Weiss; Everest W. Huang; Or Ordentlich; Gregory W. Wornell (ICASSP, 2022)

Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation. - Gary C. F. Lee; Amir Weiss; Alejandro Lancho; Jennifer Tang; Yuheng Bu; Yury Polyanskiy; Gregory W. Wornell (MLSP, 2022)

Direct Localization in Underwater Acoustics Via Convolutional Neural Networks: A Data-Driven Approach. - Amir Weiss; Toros Arikan; Gregory W. Wornell (MLSP, 2022)

Can Shadows Reveal Biometric Information? - Safa C. Medin; Amir Weiss; Frédo Durand; William T. Freeman; Gregory W. Wornell (CoRR, 2022)

A Semi-Blind Method for Localization of Underwater Acoustic Sources. - Amir Weiss; Toros Arikan; Hari Vishnu; Grant B. Deane; Andrew C. Singer; Gregory W. Wornell (IEEE Trans. Signal Process., 2022)

Blind Modulo Analog-to-Digital Conversion. - Amir Weiss; Everest W. Huang; Or Ordentlich; Gregory W. Wornell (IEEE Trans. Signal Process., 2022)

"Self-Wiener" Filtering: Data-Driven Deconvolution of Deterministic Signals. - Amir Weiss; Boaz Nadler (IEEE Trans. Signal Process., 2022)

Learning Environmental Structure Using Acoustic Probes with a Deep Neural Network. - Toros Arikan; Amir Weiss; Hari Vishnu; Grant B. Deane; Andrew C. Singer; Gregory W. Wornell (ICASSP, 2023)

On Neural Architectures for Deep Learning-Based Source Separation of Co-Channel OFDM Signals. - Gary C. F. Lee; Amir Weiss; Alejandro Lancho; Yury Polyanskiy; Gregory W. Wornell (ICASSP, 2023)

Towards Robust Data-Driven Underwater Acoustic Localization: A Deep CNN Solution with Performance Guarantees for Model Mismatch. - Amir Weiss; Andrew C. Singer; Gregory W. Wornell (ICASSP, 2023)

A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch. - Amir Weiss; Alejandro Lancho; Yuheng Bu; Gregory W. Wornell (ISIT, 2023)

Score-based Source Separation with Applications to Digital Communication Signals. - Tejas Jayashankar; Gary C. F. Lee; Alejandro Lancho; Amir Weiss; Yury Polyanskiy; Gregory W. Wornell (NeurIPS, 2023)

Can Shadows Reveal Biometric Informationƒ. - Safa C. Medin; Amir Weiss; Frédo Durand; William T. Freeman; Gregory W. Wornell (WACV, 2023)

Computationally Efficient Direct Localization of Narrowband Radio Frequency Emitters. - Amir Weiss (IEEECONF, 2024)

High-Resolution One-Bit Direct Position Determination of Narrowband Gaussian Emitters. - Amir Weiss (IEEECONF, 2024)

The Data-Driven Radio Frequency Signal Separation Challenge. - Tejas Jayashankar; Binoy G. Kurien; Alejandro Lancho; Gary C. F. Lee; Yury Polyanskiy; Amir Weiss; Gregory W. Wornell (ICASSP Workshops, 2024)

Achieving Robustness in Blind Modulo Analog-to-Digital Conversion. - Amir Weiss (ICASSP, 2025)

Extremum Encoding for Joint Baseband Signal Compression and Time-Delay Estimation for Distributed Systems. - Amir Weiss; Yuval Kochman; Gregory W. Wornell (ICASSP, 2025)

RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge. - Alejandro Lancho; Amir Weiss; Gary C. F. Lee; Tejas Jayashankar; Binoy G. Kurien; Yury Polyanskiy; Gregory W. Wornell (IEEE Open J. Commun. Soc., 2025)

Correction to "RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge". - Alejandro Lancho; Amir Weiss; Gary C. F. Lee; Tejas Jayashankar; Binoy G. Kurien; Yury Polyanskiy; Gregory W. Wornell (IEEE Open J. Commun. Soc., 2025)

Joint Data Compression and Time-Delay Estimation for Distributed Systems via Extremum Encoding. - Amir Weiss; Yuval Kochman; Gregory W. Wornell (IEEE Trans. Signal Process., 2025)