Barak Sober — accepted AI-conference papers

2023

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 Romer, Eli Piasetzky, Israel Finkelstein +1

ACL 2023findings

We present a pipeline for a statistical stylometric exploration of a hypothesized partition of a text. Given a parameterization of the text, our pipeline: (1) detects literary features yielding the optimal overlap between the hypothesized and unsupervised partitions, (2) performs a hypothesis-testin…

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2020

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 2020accepted

X-radiography is a widely used imaging technique in art investigation, whether to investigate the condition of a painting or provide insights into artists' techniques and working methods. In this paper, we propose a new architecture based on the use of `connected' auto-encoders in order to separate…

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