In a recent Nature study, scientists have demonstrated an electrically driven perovskite laser using a dual-cavity design, ...
Abstract: Deep neural networks (DNNs) have been applied to address electromagnetic inverse scattering problems (ISPs) and shown superior imaging performances, which can be affected by the training ...
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, ...
We also prove that the two sets of Maxwell equations only depend on the non-linear elations of the conformal group of ...
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 ...
What makes the human brain special in the AI era? The answer lies in the way it changes when we start working in ...
AI systems are already beginning to help with research that only a handful of humans understand in the first place. In a ...
Professor Zhou's team provides a rigorous theoretical foundation in their paper. They demonstrate that a specific form of offline Inverse Reinforcement Learning (IRL) reward function can be recovered ...
This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models". This paper has been accpeted by NeurIPS 2024 ...
Physicist Albert Einstein famously posited that if he only had an hour to crack a daunting problem, he'd devote 55 minutes to ...
Inverse exchange-traded funds (ETFs) offer a way for contrarian traders to bet against the expected daily performance of an ...
Covering the why to the what to the when, HMRC’s Making Tax Digital programme director Craig Ogilvie cut a convincing figure when he was grilled ...
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