Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions

Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions

Item #:: 075280-0416
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DOI: https://doi.org/10.52202/075280-0416
Author(s): Samantha Chen, Yusu Wang
Pages: 9506-9517 (12 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 36
Date/Location: Held 10-16 December 2023, New Orleans, Louisiana, USA.
Series: Advances in Neural Information Processing Systems 36
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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DOI: https://doi.org/10.52202/075280-0416
Author(s): Samantha Chen, Yusu Wang
Pages: 9506-9517 (12 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 36
Date/Location: Held 10-16 December 2023, New Orleans, Louisiana, USA.
Series: Advances in Neural Information Processing Systems 36
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)