Hydrological process surrogate modelling and simulation with neural networksJanuary 1, 2020·Zhang Ruixi,Remmy ZenJeff XING,Dewa Made Sri Arsa,Abhishek Saha,Stéphane Bressan· 0 min read Source Document Cite DOITypeConference paperPublicationPAKDD 2020 - Advances in Knowledge Discovery and Data MiningpublicationsLast updated on January 1, 2020 AuthorsZhang RuixiAuthorsRemmy ZenAuthorsJeff XINGAI Product EngineerJeff XING is an AI Product Engineer at AMD. His work focuses on LLM and multimodal inference frameworks, including SGLang, vLLM, and ATOM, for agentic and distributed inference systems. AuthorsDewa Made Sri ArsaAuthorsAbhishek SahaAuthorsStéphane Bressan← Adaptive Technology for Reducing 3A Algorithm Computation Complexity December 2, 2023Building Extraction from Google Earth Images December 2, 2019 →
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