Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs

Cite

Text

Lee and Oh. "Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I1.27766

Markdown

[Lee and Oh. "Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/lee2024aaai-inducing/) doi:10.1609/AAAI.V38I1.27766

BibTeX

@inproceedings{lee2024aaai-inducing,
  title     = {{Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs}},
  author    = {Lee, Seungjun and Oh, Taeil},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {153-161},
  doi       = {10.1609/AAAI.V38I1.27766},
  url       = {https://mlanthology.org/aaai/2024/lee2024aaai-inducing/}
}