The Method of Approximate Inverse: Theory and Applications

By Tal Schuster. 2007

70 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/42a1f07e3c0970e50951e5844cb7a8a008fe1f8a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Simon Robert Arridge
2. Carola-Bibiane Schönlieb
3. Ozan Öktem
4. Peter Maass
5. Jonas Adler

In Mechanics of Materials

1. Simon Robert Arridge
2. Carola-Bibiane Schönlieb
3. Peter Maass
4. Jonas Adler
5. Ozan Öktem

Citations in the corpus

• Solving inverse problems using data-driven models (2019, methodology): “Furthermore, the idea of recovering a mollified version can be stated in a less problem-specific manner, which leads to the method of approximate inverse (Louis 1996, Schuster 2007, Louis and Maass 1990).”
• Solving ill-posed inverse problems using iterative deep neural networks (2017, methodology): “The idea is to construct a pseudo-inverse to T using the mollifier [36].”