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E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
- Item #:
- 085713-0797
- UPC:
Details
-
DOI:
https://doi.org/10.52202/085713-0797
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Author(s):
Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang
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Pages:
26777-26814 (38 pages)
-
Format:
PDF Paper Download
-
Conference:
Advances in Neural Information Processing Systems 38
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Date/Location:
Held 2-7 December 2025, San Diego, California, USA and 30 November - 5 December 2025, Mexico City, Mexico.
-
Series:
Advances in Neural Information Processing Systems 38
-
Publisher:
Neural Information Processing Systems Foundation, Inc. (NeurIPS)
-
DOI:
https://doi.org/10.52202/085713-0797
-
Author(s):
Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang
-
Pages:
26777-26814 (38 pages)
-
Format:
PDF Paper Download
-
Conference:
Advances in Neural Information Processing Systems 38
-
Date/Location:
Held 2-7 December 2025, San Diego, California, USA and 30 November - 5 December 2025, Mexico City, Mexico.
-
Series:
Advances in Neural Information Processing Systems 38
-
Publisher:
Neural Information Processing Systems Foundation, Inc. (NeurIPS)