Volume 54 | Number 02 | March 2021

Optimal Transport for Generative Neural Networks

The theory of optimal transport can solve problems in the unsupervised generation of text, images, and videos.

Plug-and-Play: A General Approach for the Fusion of Sensor and Machine Learning Models

Plug-and-play is a framework that incorporates modern black-box operators into regularized inversion problems.

Stanley C. Eisenstat, an internationally renowned computational mathematician, passed away on December 17, 2020.

Researchers are leveraging denoising algorithms to solve other, far more challenging inverse problems.

Inverse problems help to explain why deep learning implementations sometimes become unstable.

Effectively coping with different imaging applications requires tools from diverse fields of mathematics.

The 2020 SIAM Conference on Imaging Science offered snapshots of deep learning’s impact across imaging domains.

"Symmetry in Chaos" illustrates the interactions between classical symmetry and chaotic dynamical systems.

James Case reviews "The Man Who Solved the Market" by Gregory Zuckerman, which profiles Jim Simons.

Anuj Mubayi discusses the importance of embracing interdisciplinary practical thinking during a career change.

Mark Levi introduces a scenario in which a planet's sun sets in the west as normal, then rises in the west once more.

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