05/02/2026 - Pytorch implementation released 09/06/2025 – Initial SIGMA code released with example notebook and test images. SIGMA (Self-guided Integrated Gradient Method for Attribution) is a ...

Two Florida cold cases that have remained shrouded in mystery for years have finally been solved, according to authorities. Both cases — a fatal stabbing in 2007 and a fatal shooting in 2022 — took ...

Abstract: For the conjugate gradient method to solve the unconstrained optimization problem, given a new interval method to obtain the direction parameters, and a new conjugate gradient algorithm is ...

Abstract: Conjugate gradient techniques are widely used to solve unconstrained optimization issues. The accelerated conjugate gradient approach provides superior numerical effects for the ...

Spiking neural networks (SNNs) are a model of computation that mimics the behavior of biological neurons. SNNs process event data (spikes) and operate more sparsely than artificial neural networks ...

With so many options for method parameters to adjust during method development, identifying a starting point can be intimidating. Starting with scouting gradients can simplify the process and yield ...

First of all, thank you for your great work, I am using your library a lot and it's very efficient in removing background! My issue is that recently I started getting ...

In this paper, we present the numerical solution for the optimal control problem of monodomain modelwith Rogers-modified FitzHugh-Nagumo ion kinetic. The monodomain model, which is a well-known ...

A class of finite step iterative methods, conjugate gradients, for the solution of an operator equation, is presented on this paper to solve electromagnetic scattering. The method of generalized ...

The nonlinear conjugate gradient method is a very useful technique for solving large scale minimization problems and has wide applications in many fields. In this paper, we present a new algorithm of ...