Approssimare la radice di 2 con il metodo di Newton : implementazione Ma... youtu.be/TCIt3RHucNM di YouTube

Metodo di Eulero esplicito: soluzione numerica dei problemi di Cauchy youtu.be/fDP5gM9zhxU di YouTube

Eulero esplicito: implementazione con Matlab youtu.be/2Ximo_PmmRA di YouTube

Cos'è un'applicazione lineare? youtu.be/3YftN1SSwc8 di YouTube

Presentazione del canale Mathone Video youtu.be/BowegwaBGrk via YouTube

Alcune domande sulla laurea in Ingegneria - Intervista a Paolo di Tutor ... youtu.be/KbLlC3hBkpg

Free introductory course on Hamiltonian Systems. Graduate and advanced undergraduate level. ► Complete lecture series youtube.com/watch?v=pB-ale… SIAM Activity Group on Dynamical Systems #Hamiltonian #physics #engineering #aerospace #mechanical #math #mechanics

Level up your data science vocabulary: Manifold Hypothesis deepai.org/machine-learni… #Classifier #ManifoldHypothesis

Very interesting article by FS , concepts touched even by Marcus du Sautoy in his recent book "Thinking better". The Map Is Not the Territory fs.blog/map-and-territ…

Designing, Visualizing, and Understanding Deep Neural Networks. UC Berkeley. 100% Free. 66 YouTube videos: youtube.com/playlist?list=…

medium.com/@davidemurari/…

Here is the whole MaGIC bunch on the last day. #magic22 #ilsetra THREAD_ETN 🇪🇺 Ergys Çokaj @AndreaLtwit Denise Tumiotto martinastavole @ronnybergmann_ Thank you Ilsetra for being such fantastic hosts.

Today I've had the great chance to present our work on Hamiltonian systems at the Machine Learning and Dynamical Systems seminar of The Alan Turing Institute . You can find it here youtube.com/watch?v=tAIGUk…

Dynamical systems' based neural networks deepai.org/publication/dy… by Elena Celledoni et al. including Davide Murari #Vector #NeuralNetwork

New pre-print : arxiv.org/abs/2305.00723 Predictions Based on Pixel Data: Insights from PDEs and Finite Differences #deeplearning #NeuralNetworks

Yesterday, Ferdia Sherry and I published a blog post on the ECMI blog about a topic at the core of my PhD research project: designing neural networks based on dynamical systems theory, primarily focusing on increasing their robustness to perturbations: ecmiindmath.org/2024/02/16/rob…

I'm glad to share that our paper (with Elena Celledoni, Matthias J Ehrhardt, Davide Murari, Owren, Carola-Bibiane Schönlieb) on designing provably stable neural networks using connections to gradient flows in convex potentials has been published in Physica D! Check it out: sciencedirect.com/science/articl…!

I recently learned about a very cool fact: if you compose flows of two Hamiltonians, this is also Hamiltonian. What is more - you can write down the exact Hamiltonian!