"Scientific Machine Learning, emerging topics" is an international conference focused on the study of mathematical theory and algorithms of machine learning, and applications of machine learning in scientific computing and engineering disciplines. Particular emphasis will be on
- optimization,
- physics-informed learning,
- graph neural networks,
- neural operators,
- transformers,
- neural odes,
- generative models.
Conference fees
| Early Bird Fee | Normal Fee | |
| Students | 250€ | 300€ |
| Non students | 350€ | 400€ |
The conference fee includes: lunches (Wed. and Thu.), coffee breaks, aperitivo, conference dinner and transportation from Trieste City Center to SISSA Campus.
Early Bird Fee until May, the 31st, 2024.
Registration is open! To register fill in this form.
After completing the form, you will find the link for the payment in the Google Forms confirmation.
SISSA staff will then send the invoices for the payment.
To express your interest in presenting at this conference, please fill out this form before May 22nd, 2024.
You will receive notification of acceptance by May 27th.
Image taken from the paper by Michael M. Bronstein, Joan Bruna, Taco Cohen and Petar Veličković "Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges", arXiv preprint arXiv:2104.13478
Sponsors:
