Jean-François BAFFIER (azzaare@github)

Researcher at Internet Initiative Japan (IIJ) research lab, specialized in Optimization, Networks, Data Structures, and Algorithms.

Talks:

14:40 UTC

ConstraintLearning: Ever wanted to learn more about constraints?

07/28/2023, 2:40 PM — 2:50 PM UTC
32-155

In many fields of optimization, there is often a tradeoff between efficiency and the simplicity of the model. ConstraintLearning.jl is an interface to several tools designed to smooth that tradeoff.

  • CompositionalNetworks.jl: a scaling glass-box method to learn highly combinatorial functions [JuliaCon 2021]
  • QUBOConstraints.jl: a package to automatically learn QUBO matrices from optimization constraints.

Applications are not limited to Constraint Programming, but are focused on it.

Platinum sponsors

JuliaHub

Gold sponsors

ASML

Silver sponsors

Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

Bronze sponsors

Jolin.ioBeacon BiosignalsMIT CSAILBoeing

Academic partners

NAWA

Local partners

Postmates

Fiscal Sponsor

NumFOCUS