Léo Baty


17:00 UTC

InferOpt.jl: combinatorial optimization in ML pipelines

07/29/2022, 5:00 PM5:30 PM UTC

We present InferOpt.jl, a generic package for combining combinatorial optimization algorithms with machine learning models. It has two purposes:

  • Increasing the expressivity of learning models thanks to new types of structured layers.
  • Increasing the efficiency of optimization algorithms thanks to an additional inference step.

Our library provides wrappers for several state-of-the-art methods in order to make them compatible with Julia's automatic differentiation ecosystem.

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Julia ComputingRelational AIJulius Technology

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Silver sponsors

Invenia LabsBeacon BiosignalsMetalenzASMLG-ResearchConningPumas AIQuEra Computing Inc.Jeffrey Sarnoff

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Packt PublicationGather TownVercel

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Data UmbrellaWiMLDS

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