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We introduce OMLT, which represents trained machine learning models as Pyomo optimization formulations. See our paper: https://arxiv.org/abs/2202.02414 Link to the code: https://github.com/cog-imperial/OMLT Link to slides: http://www.doc.ic.ac.uk/~rmisener/OML... FC, CT, and RM were funded by Engineering & Physical Sciences Research Council Fellowships ( EP/T001577/1 & EP/P016871/1). CT was also supported by a Imperial College Research Fellowship. BASF SE funded the PhD studentship of AT. JJ and JH were funded in part by the Institute for the Design of Advanced Energy Systems (IDAES) with funding from the Office of Fossil Energy, Cross-Cutting Research, U.S. Department of Energy. JJ, JH, and CL were also funded by Sandia National Laboratories Laboratory Directed Research and Development (LDRD) program. ~ Connect with the Computational Optimisation Group at Imperial College London online... Subscribe to the CogImperial YouTube channel for more research related content: / cogimperial Follow us on Twitter for news about our research groups: / cogimperial Visit our official site for more information: https://optimisation.doc.ic.ac.uk/