Evaluating glyph binarizations based on their properties. - Shira Faigenbaum; Arie Shaus; Barak Sober; Eli Turkel; Eli Piasetzky (ACM Symposium on Document Engineering, 2013)

Beyond the Ground Truth: Alternative Quality Measures of Document Binarizations. - Arie Shaus; Barak Sober; Eli Turkel; Eli Piasetzky (ICFHR, 2016)

Manifolds' Projective Approximation Using The Moving Least-Squares (MMLS). - Barak Sober; David Levin (CoRR, 2016)

Potential Contrast - A New Image Quality Measure. - Arie Shaus; Shira Faigenbaum-Golovin; Barak Sober; Eli Turkel (IQSP, 2017)

Computer aided restoration of handwritten character strokes. - Barak Sober; David Levin (Comput. Aided Des., 2017)

A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation. - Wei Pu; Barak Sober; Nathan Daly; Catherine Higgitt; Ingrid Daubechies; Miguel R. D. Rodrigues (ICASSP, 2020)

Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares. - Barak Sober; Ingrid Daubechies; Robert Ravier (CoRR, 2020)

Image Separation with Side Information: A Connected Auto-Encoders Based Approach. - Wei Pu; Barak Sober; Nathan Daly; Zahra Sabetsarvestani; Catherine Higgitt; Ingrid Daubechies; Miguel R. D. Rodrigues (CoRR, 2020)

Expression of Fractals Through Neural Network Functions. - Nadav Dym; Barak Sober; Ingrid Daubechies (IEEE J. Sel. Areas Inf. Theory, 2020)

A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs. - Wei Pu; Junjie Huang 001; Barak Sober; Nathan Daly; Catherine Higgitt; Pier Luigi Dragotti; Ingrid Daubechies; Miguel R. D. Rodrigues (EUSIPCO, 2021)

Non-Parametric Estimation of Manifolds from Noisy Data. - Yariv Aizenbud; Barak Sober (CoRR, 2021)

Approximation of functions over manifolds: A Moving Least-Squares approach. - Barak Sober; Yariv Aizenbud; David Levin (J. Comput. Appl. Math., 2021)

Manifold Free Riemannian Optimization. - Boris Shustin; Haim Avron; Barak Sober (CoRR, 2022)

Mixed X-Ray Image Separation for Artworks With Concealed Designs. - Wei Pu; Junjie Huang 001; Barak Sober; Nathan Daly; Catherine Higgitt; Ingrid Daubechies; Pier Luigi Dragotti; Miguel R. D. Rodrigues (IEEE Trans. Image Process., 2022)

A Statistical Exploration of Text Partition Into Constituents: The Case of the Priestly Source in the Books of Genesis and Exodus. - Gideon Yoffe; Axel Bühler; Nachum Dershowitz; Thomas Römer; Eli Piasetzky; Israel Finkelstein; Barak Sober (ACL (Findings), 2023)

A Statistical Exploration of the Hypothesized Partition of the Books of Genesis and Exodus into Priestly and non-Priestly Components. - Gideon Yoffe; Axel Bühler; Thomas Römer; Nachum Dershowitz; Eli Piasetzky; Israel Finkelstein; Barak Sober (DH, 2023)

Image Separation With Side Information: A Connected Auto-Encoders Based Approach. - Wei Pu; Barak Sober; Nathan Daly; Chao Zhou; Zahra Sabetsarvestani; Catherine Higgitt; Ingrid Daubechies; Miguel R. D. Rodrigues (IEEE Trans. Image Process., 2023)

Neural Network Approximation of Refinable Functions. - Ingrid Daubechies; Ronald A. DeVore; Nadav Dym; Shira Faigenbaum-Golovin; Shahar Z. Kovalsky; Kung-Ching Lin; Josiah Park; Guergana Petrova; Barak Sober (IEEE Trans. Inf. Theory, 2023)

Estimating the Influence of Sequentially Correlated Literary Properties in Textual Classification: A Data-Centric Hypothesis-Testing Approach. - Gideon Yoffe; Nachum Dershowitz; Ariel Vishne; Barak Sober (CoRR, 2024)

An Information-Theoretic Approach to Identifying Formulaic Clusters in Textual Data. - Gideon Yoffe; Yair Segev; Barak Sober (CoRR, 2025)