IEEE

Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence

Abstract: The concept of a decentralized smart grid has emerged as a viable approach for efficiently managing and distributing electrical energy. Ensuring the stability and reliability of the grid, ...
IEEE

Porosity Prediction and Uncertainty Estimation in Tight Sandstone Reservoir Using Non-Deterministic XGBoost

Abstract: Understanding porosity is crucial in various industries, especially those involved in resource exploration and production, such as oil and gas, mining, and geology. Since porosity prediction ...
Nature

E. coli chemosensing accuracy is not limited by stochastic molecule arrivals

As kinase activity is stochastic, the sensing accuracy and gradient-climbing speed of E. coli must be below the physical limit, but how much less? Recently, we asked how fast an ideal bacterium could ...
GitHub

Revisiting Transferable Adversarial Images

Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights. Zhengyu Zhao*, Hanwei Zhang*, Renjue Li*, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Qian Wang, Chao ...
GitHub

Learning to learn by gradient descent by gradient descent.pdf

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...