COURSE: Introduction to coding neural networks and partial differential equations

Professors:

• Carlos Uriarte¹      carlos.uribar@gmail.com
• Ángel Javer Omella¹   ajaome@gmail.com
• David Pardo^1,2,3      dzubiaur@gmail.com

Organizers:

• Ignacio Muga⁴     ignacio.muga@gmail.com
• Paulina Sepúlveda⁴   paulina.e.sepulveda@gmail.com

Affiliations:

¹Universidad del País Vasco (UPV/EHU), Bilbao, Spain

²Basque Center for Applied Mathematics (BCAM), Bilbao, Spain

³Basque Foundation for Science (Ikerbasque), Bilbao, Spain

⁴Pontifical Catholic University of Valparaíso (PUCV), Valparaíso, Chile

Dates:

From 19/01/2025 to 24/01/2025

Funding:

• ANID Fomento a la Vinculación Internacional FOVI240119
• Instituto de Matemáticas PUCV
• Centro Nacional de Inteligencia Artificial

Acknowledgements:

We use some material and code developed initially by collaborators to the MATMODE group. In particular, we would like to give our sincere thanks to:

• Jamie Taylor who developed the wonderful introductory course In-Deep-examples for solving problems from PDEs using Tensorflow.
• Manuela Bastidas for developing the PINNS-and-DFR-examples