Efficient Foundation Models for PDEs
–Neural Information Processing Systems
It is based on a multiscale operator transformer, with time-conditioned layer norms that enable continuous-in-time evaluations. A novel training strategy leveraging the semi-group property of time-dependent PDEs to allow for significant scaling-up of the training data is also proposed.
Neural Information Processing Systems
May-30-2025, 17:40:45 GMT
- Country:
- Europe > Switzerland > Zürich > Zürich (0.14)
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- Research Report > Experimental Study (1.00)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning
- Neural Networks > Deep Learning (0.67)
- Statistical Learning (0.67)
- Natural Language (1.00)
- Representation & Reasoning (1.00)
- Vision (0.92)
- Machine Learning
- Information Technology > Artificial Intelligence