Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: The challenging task of solving inverse scattering problems (ISPs) is due to their inherent ill-posedness and nonlinearity. To alleviate ill-posedness, a novel hybrid regularization method ...

This repository contains the code for the paper "Solving Inverse Physics Problems with Score Matching" by Benjamin Holzschuh, Simona Vegetti, and Nils Thuerey. The paper can be found here. Our works ...

Codes for the paper: FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames. Preprint version: https://arxiv.org ...

The Cabot Professor of Mathematics sat down with Fifteen Minutes to discuss life lessons from mathematics, the challenges of ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

As the Cold War rose as the most critical conflict in the world and the menace of Soviet bombers became increasingly real, the call was sent out for an all-American solution. However, in the race to ...

The idea that companies must “delight” their customers has become so entrenched that managers rarely examine it. But ask yourself this: How often does someone patronize a company specifically because ...

The enlightened truth of the role of fire in human evolution. Illustration by Paul Garland The next time you find yourself lost in thought while gazing at a fireplace ablaze or even a solitary candle ...

The International Conference on Digital Audio Effects (DAFx) 2025 witnessed a remarkable achievement by researchers from the Aalto University Acoustics Lab, as Eloi Moliner and Professor Vesa Välimäki ...