JuliaCon 2022 (Times are 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.