Picture for Barak Sober

Barak Sober

A Statistical Exploration of Text Partition Into Constituents: The Case of the Priestly Source in the Books of Genesis and Exodus

Add code
May 04, 2023
Viaarxiv icon

Manifold Free Riemannian Optimization

Add code
Sep 07, 2022
Figure 1 for Manifold Free Riemannian Optimization
Figure 2 for Manifold Free Riemannian Optimization
Figure 3 for Manifold Free Riemannian Optimization
Figure 4 for Manifold Free Riemannian Optimization
Viaarxiv icon

Mixed X-Ray Image Separation for Artworks with Concealed Designs

Add code
Jan 23, 2022
Figure 1 for Mixed X-Ray Image Separation for Artworks with Concealed Designs
Figure 2 for Mixed X-Ray Image Separation for Artworks with Concealed Designs
Figure 3 for Mixed X-Ray Image Separation for Artworks with Concealed Designs
Figure 4 for Mixed X-Ray Image Separation for Artworks with Concealed Designs
Viaarxiv icon

Neural Network Approximation of Refinable Functions

Add code
Jul 28, 2021
Figure 1 for Neural Network Approximation of Refinable Functions
Figure 2 for Neural Network Approximation of Refinable Functions
Figure 3 for Neural Network Approximation of Refinable Functions
Figure 4 for Neural Network Approximation of Refinable Functions
Viaarxiv icon

Non-Parametric Estimation of Manifolds from Noisy Data

Add code
May 11, 2021
Figure 1 for Non-Parametric Estimation of Manifolds from Noisy Data
Figure 2 for Non-Parametric Estimation of Manifolds from Noisy Data
Figure 3 for Non-Parametric Estimation of Manifolds from Noisy Data
Figure 4 for Non-Parametric Estimation of Manifolds from Noisy Data
Viaarxiv icon

Image Separation with Side Information: A Connected Auto-Encoders Based Approach

Add code
Sep 16, 2020
Figure 1 for Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Figure 2 for Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Figure 3 for Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Figure 4 for Image Separation with Side Information: A Connected Auto-Encoders Based Approach
Viaarxiv icon

Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares

Add code
Jul 20, 2020
Figure 1 for Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares
Figure 2 for Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares
Figure 3 for Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares
Figure 4 for Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares
Viaarxiv icon

Expression of Fractals Through Neural Network Functions

Add code
May 27, 2019
Figure 1 for Expression of Fractals Through Neural Network Functions
Viaarxiv icon

Approximation of Functions over Manifolds: A Moving Least-Squares Approach

Add code
Jan 23, 2018
Figure 1 for Approximation of Functions over Manifolds: A Moving Least-Squares Approach
Figure 2 for Approximation of Functions over Manifolds: A Moving Least-Squares Approach
Figure 3 for Approximation of Functions over Manifolds: A Moving Least-Squares Approach
Figure 4 for Approximation of Functions over Manifolds: A Moving Least-Squares Approach
Viaarxiv icon

Manifold Approximation by Moving Least-Squares Projection (MMLS)

Add code
Jan 16, 2018
Figure 1 for Manifold Approximation by Moving Least-Squares Projection (MMLS)
Figure 2 for Manifold Approximation by Moving Least-Squares Projection (MMLS)
Figure 3 for Manifold Approximation by Moving Least-Squares Projection (MMLS)
Figure 4 for Manifold Approximation by Moving Least-Squares Projection (MMLS)
Viaarxiv icon