Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

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dc.contributor.authorKim, Jinwooko
dc.contributor.authorHong, Seunghoonko
dc.contributor.authorNguyen, Dat Tienko
dc.contributor.authorSuleymanzade, Ayhanko
dc.contributor.authorAn, Hyeokjunko
dc.date.accessioned2023-11-30T01:03:06Z-
dc.date.available2023-11-30T01:03:06Z-
dc.date.created2023-11-24-
dc.date.issued2023-12-11-
dc.identifier.citationThirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023-
dc.identifier.urihttp://hdl.handle.net/10203/315455-
dc.languageEnglish-
dc.publisherNeural Information Processing Systems Foundation-
dc.titleLearning Probabilistic Symmetrization for Architecture Agnostic Equivariance-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationNew Orleans Ernest N. Morial Convention Center-
dc.contributor.localauthorHong, Seunghoon-
dc.contributor.nonIdAuthorKim, Jinwoo-
dc.contributor.nonIdAuthorNguyen, Dat Tien-
dc.contributor.nonIdAuthorSuleymanzade, Ayhan-
dc.contributor.nonIdAuthorAn, Hyeokjun-
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CS-Conference Papers(학술회의논문)
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