28 citations · 31 across the 4 of their papers we have counts for
4 papers
A Geometric Unification of Generative AI with Manifold-Probabilistic Projection Models
Leah Bar, Liron Mor Yosef, Shai Zucker +3
Most models of generative AI for images assume that images are inherently low-dimensional objects embedded within a high-dimensional space. Additionally, it is often implicitly ass…
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Leah Bar, Boaz Lerner, Nir Darshan +1
Active Learning (AL) is a user-interactive approach aimed at reducing annotation costs by selecting the most crucial examples to label. Although AL has been extensively studied for…
Solving the functional Eigen-Problem using Neural Networks
Ido Ben-Shaul, Leah Bar, Nir Sochen
In this work, we explore the ability of NN (Neural Networks) to serve as a tool for finding eigen-pairs of ordinary differential equations. The question we aime to address is wheth…
Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems
Leah Bar, Nir Sochen
We propose a neural network-based algorithm for solving forward and inverse problems for partial differential equations in unsupervised fashion. The solution is approximated by a d…