Equivariant Architectures for Learning in Deep Weight Spaces - researchr publication authors

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Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron. Equivariant Architectures for Learning in Deep Weight Spaces. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 25790-25816, PMLR, 2023. [doi]

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