Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

Item #:

079017-0793

Details

DOI: https://doi.org/10.52202/079017-0793
Author(s): Benedikt Alkin, Johannes Brandstetter, Andreas Fürst, Lukas Gruber, Markus Holzleitner, Simon Schmid
Pages: 25152-25194 (43 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 37
Date/Location: Held 10-15 December 2024, Vancouver, Canada.
Series: Advances in Neural Information Processing Systems 37
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DOI: https://doi.org/10.52202/079017-0793
Author(s): Benedikt Alkin, Johannes Brandstetter, Andreas Fürst, Lukas Gruber, Markus Holzleitner, Simon Schmid
Pages: 25152-25194 (43 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 37
Date/Location: Held 10-15 December 2024, Vancouver, Canada.
Series: Advances in Neural Information Processing Systems 37
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)