Author

Assaf Shocher

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

A Unified Theory of Image Scaling: Point Spread Functions, Discrete Kernels, and Scale-Spaces

We derive the optically aligned system of image-scaling operators $\mathbf{K}_s$ that reproduces optical zoom (exact zoom-out, canonical zoom-in), by identifying a Huygens-like consistency principle in which each pixel acts as a secondary source. The system is determined in closed form by the camera's point spread func...

A. Shocher · 0 citations

#machine learning Feb 2026

Pseudo-Invertible Neural Networks

This paper proposes a natural generalization of PInv to the nonlinear regime in general and to neural networks in particular, and introduces Surjective Pseudo-invertible Neural Networks (SPNN), a class of architectures explicitly designed to admit a tractable non-linear PInv.

Yamit Ehrlich, Nimrod Berman, Assaf Shocher · arXiv.org · 1 citation