Deborah Pereg

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Information Theoretic Perspective on Representation Learning.
CoRR
Deborah Pereg
2025 J jnl
On Inverse Problems, Parameter Estimation, and Domain Generalization.
CoRR
Deborah Pereg
2024 J jnl
Back to basics: Fast denoising iterative algorithm.
Signal Process.
Deborah Pereg
2024 — conf
One-Shot Image Restoration.
ECCV Workshops (22)
Deborah Pereg
2024 J jnl
One-Shot Image Restoration.
CoRR
Deborah Pereg
2023 J jnl
Back to Basics: Fast Denoising Iterative Algorithm.
CoRR
Deborah Pereg
2023 J jnl
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction.
CoRR
Deborah Pereg
2023 J jnl
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise Reduction.
J. Imaging
Deborah Pereg
2023 J jnl
Information theoretic perspective on sample complexity.
Neural Networks
Deborah Pereg
2022 J jnl
Convolutional Sparse Coding Fast Approximation With Application to Seismic Reflectivity Estimation.
IEEE Trans. Geosci. Remote. Sens.
Deborah Pereg, Israel Cohen, Anthony A. Vassiliou
2022 J jnl
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets.
CoRR
Deborah Pereg, Martin Villiger, Brett E. Bouma, Polina Golland
2021 J jnl
Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation.
CoRR
Deborah Pereg, Israel Cohen, Anthony A. Vassiliou
2019 J jnl
Three-dimensional sparse seismic deconvolution based on earth Q model.
Signal Process.
Deborah Pereg, Israel Cohen, Anthony A. Vassiliou
2017 J jnl
Seismic signal recovery based on Earth Q model.
Signal Process.
Deborah Pereg, Israel Cohen
2013 J jnl
Blind Deconvolution via Maximum Kurtosis Adaptive Filtering.
CoRR
Deborah Pereg, Doron Benzvi