An electrocardiogram (ECG) records the electrical signal from the heart to check for different
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …

A large number of imaging problems reduce to the optimization of a cost function, with
typical structural properties. The aim of this paper is to describe the state of the art in …

The Deep Underground Neutrino Experiment (DUNE)[1] is a next-generation, long-baseline
neutrino oscillation experiment, with a near detector at Fermilab and a far detector located at …

Recent studies on transfer learning have shown that selectively fine-tuning a subset of
layers or customizing different learning rates for each layer can greatly improve robustness …

This book, as the title suggests, is about first-order methods, namely, methods that exploit
information on values and gradients/subgradients (but not Hessians) of the functions …

The verification problem for probabilistic concurrent finite-state program is to decide whether
such a program satisfies its linear temporal logic specification. We describe an automata …

In this paper we study the problem of blind deconvolution. Our analysis is based on the
algorithm of Chan and Wong [2] which popularized the use of sparse gradient priors via total …

Hyperspectral unmixing aims at estimating pure spectral signatures and their proportions in
each pixel. In practice, the atmospheric effects, intrinsic variation of the spectral signatures of …

The field of optical nanoscopy, a paradigm referring to the recent cutting-edge developments
aimed at surpassing the widely acknowledged 200nm-diffraction limit in traditional optical …

De novo protein design methods can create proteins with folds not yet seen in nature. These
methods largely focus on optimizing the compatibility between the designed sequence and …