ICML 2024 Tutorial"Machine Learning on Function spaces

ICML 2024 Tutorial
"Machine Learning on Function spaces #NeuralOperators"
Abstract:
This tutorial will introduce neural operators, an extension of neural networks designed to learn mappings between infinite-dimensional function spaces. We'll cover the theoretical foundations, including their formulation and universal approximation capabilities. Emphasizing their discretization-invariance, we'll explore how neural operators tackle problems in partial differential equations (PDEs) and scientific computing tasks. This session is ideal for machine learning experts looking to leverage neural operators for advanced scientific and engineering applications.
Speaker video: • Speaker - ICML 2024 Tu...
Slides video: • Slides - ICML 2024 Tut...
Slides PDF: drive.google.c...
Reference: www.nature.com...

[@abhijeetvyas7365]

Insightful talk - 37:31 is classic for Fourier basis.

[@user-qt2fy9rd3c]

insightful talk! 👍👍

[@mojtabakolahdoozi2418]

So insightful talk!

[@IsaiahUla-r6w]

Gonzalez Joseph Williams James Gonzalez Jose

[@TG-bf8um]

Is there a version of this tutorial where the video slides are visible?

[@kamyarazizzadenesheli7740]

The links are on the discerption above.

[@DuncanPenny-v7q]

Moore Karen Miller Nancy Jackson Barbara

[@HoyleBarret-p4e]

Perez Donald Lewis Nancy Jones Karen