George Miloshevich

Jan 29, 2024 | hal.science | George Miloshevich |Pascal Yiou |Freddy Bouchet |Dario Lucente

Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning Mots clés heatwave Markov chain prediction convolutional neural network Domaines Physique Atmosphérique et Océanique [physics.ao-ph] Apprentissage [cs.LG] Environnement et Société Fichier principal EDS__Computing_committors_for_extreme_events_using_SWG_and_deep_learning_Rev (3).pdf (5.52 Mo) Télécharger le fichier Origine : Fichiers produits par l'(les) auteur(s)...

Dec 1, 2023 | towardsdatascience.com | George Miloshevich

Describing the nature with the help of analytical expressions verified through experiments has been a hallmark of the success of science especially in physics from fundamental law of gravitation to quantum mechanics and beyond. As challenges such as climate change, fusion, and computational biology pivot our focus toward more compute, there is a growing need for concise yet robust reduced models that maintain physical consistency at a lower cost.

Dec 1, 2023 | georgemilosh.medium.com | George Miloshevich

A picture from Equations Pictures | Download Free Images on Unsplash Describing the nature with the help of analytical expressions verified through experiments has been a hallmark of the success of science especially in physics from fundamental law of gravitation to quantum mechanics and beyond.