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公开(公告)号:US20240062060A1
公开(公告)日:2024-02-22
申请号:US18267363
申请日:2021-12-20
Applicant: DeepMind Technologies Limited
Inventor: Sergey Bartunov , Felix Axel Gimeno Gil , Ingrid Karin von Glehn , Pawel Lichocki , Ivan Lobov , Vinod Nair , Brendan Timothy O'Donoghue , Nicolas Sonnerat , Christian Tjandraatmadja , Pengming Wang
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for solving mixed integer programs (MIPs) using neural networks. One of the methods includes obtaining data specifying parameters of a MIP; generating, from the parameters of the MIP, an input representation; processing the input representation using an encoder neural network to generate a respective embedding for each of the integer variables; generating a plurality of partial assignments by selecting a respective second, proper subset of the integer variables; and for each of the variables in the respective second subset, generating, using at least the respective embedding for the variable, a respective additional constraint on the value of the variable; generating, for each of the partial assignments, a corresponding candidate final assignment that assigns a respective value to each of the plurality of variables; and selecting, as a final assignment for the MIP, one of the candidate final assignments.
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公开(公告)号:US20200293838A1
公开(公告)日:2020-09-17
申请号:US16818932
申请日:2020-03-13
Applicant: DeepMind Technologies Limited
Inventor: Yujia Li , Vinod Nair , Felix Axel Gimeno Gil , Aditya Paliwal , Miles C. Lubin
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a schedule for a computation graph. One of the methods includes obtaining data representing an input computation graph; processing the data representing the input computation graph using a graph neural network to generate one or more instance-specific proposal distributions; and generating a schedule for the input computation graph by performing an optimization algorithm in accordance with the one or more instance-specific proposal distributions.
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