Reexen participating at NeurIPS 2019 in Vancouver
We are looking forward to go to NeurIPS in Vancouver! Our lead deep learning researcher will present his work at a NeurIPS workshop, which has also ensured one of the much demanded conference tickets. The work was done with collaborators from the Yann LeCun Centre of Data Science at the New York University. It presents a way to improve data efficiency when simulation chains are used for training. This novel method has already been used for physical sciences. At Reexen we look to apply this novel method to design better surrogate simulation models. These models can be used for fast simulations to complement existing resource intensive hardware simulations.
The conference gives great opportunities to exchange ideas in all AI fields, network with top researches and ensures we keep up to date with the latest developments. The energy efficient machine learning workshop at NeurIPS will be one of this year’s high-lights in our AI community.
Martin Cook
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Michelle Ross
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James Anderson
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