IFLScience on MSN

Could all of math be reduced to a single operation? This theoretical physicist says yes, and he's found it

It’s not often a math paper goes viral, but a new preprint from a theoretical physicist at Poland’s Jagiellonian University ...

The ‘Lonely Runner’ Problem Only Appears Simple

Take a group of runners circling a track at unique, constant paces. Answering the question of how many will always end up ...
IEEE

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data

Abstract: We present SURE-Score: an approach for learning score-based generative models using training samples corrupted by additive Gaussian noise. When a large training set of clean samples is ...

How sulfur could fix 3D printing’s waste problem

So the waste problem in 3D printing is really a chemistry problem. Once these materials harden, they’re locked into their ...
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Given a quadratic function, find the inverse and determine if a function or not

👉 Learn how to find the inverse of a quadratic function. A quadratic function is a function whose highest exponent in the variable(s) of the function is 2. The inverse of a function is a function ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...
Scientific Research Publishing

Physical Investigation on Robust Algorithms for Inverse Problems of Heterogeneous Metastructures ()

1 Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development, Civil Aviation University of China, Tianjin, China. 2 Groupe d’Acoustigue de l’ Université de ...
Oak Ridge National Lab

Solving Physics-Constrained Inverse Problems with Conditional Diffusion Models

Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...
GitHub

Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction

This code belongs to the paper [8] available at https://arxiv.org/abs/2312.16611. Please cite the paper, if you use this code. The repository contains an ...