Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

Computational methods have been established as cornerstones in optical imaging and
holography in recent years. Every year, the dependence of optical imaging and holography …

Holography provides access to the optical phase. The emerging compressive phase
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …

Metasurface-programmable radio environments are considered a key ingredient of next-
generation wireless networks. Yet, identifying a metasurface configuration that yields a …

The reconfigurability of radio environments with programmable metasurfaces is considered
a key feature of next-generation wireless networks. Identifying suitable metasurface …

Holography is a powerful technique that records the amplitude and phase of an optical field
simultaneously, enabling a variety of applications such as label-free biomedical analysis …

Global concern about microplastic (MP) and nanoplastic (NP) particles is continuously rising
with their proliferation worldwide. Effective identification methods for MP and NP pollution …

Conventional deep learning-based image reconstruction methods require a large amount of
training data, which can be hard to obtain in practice. Untrained deep learning methods …

The Jones matrix is a powerful quantitative tool for polarimetric imaging and
characterization, where the matrix elements represent the intrinsic optical properties of the …

We consider the problem of learning a target function corresponding to a single hidden layer
neural network, with a quadratic activation function after the first layer, and random weights …