[docs] update sources of inspiration (#99)

README.md

@@ -18,11 +18,28 @@ For help, questions, comments, and suggestions, please [open a GitHub issue](htt
 
 ## Inspiration
 
-This project is inspired by two existing projects:
+This project is mainly inspired by two existing projects:
 
  * [OMLT](https://github.com/cog-imperial/OMLT)
  * [gurobi-machinelearning](https://github.com/Gurobi/gurobi-machinelearning)
 
+Other works, from which we took less inspiration, include:
+
+ * [JANOS](https://github.com/INFORMSJoC/2020.1023)
+ * [MeLOn](https://git.rwth-aachen.de/avt-svt/public/MeLOn)
+ * [ENTMOOT](https://github.com/cog-imperial/entmoot)
+ * [reluMIP](https://github.com/process-intelligence-research/ReLU_ANN_MILP)
+ * [OptiCL](https://github.com/hwiberg/OptiCL)
+ * [PySCIPOpt-ML](https://github.com/Opt-Mucca/PySCIPOpt-ML)
+
+The 2024 paper of López-Flores et al. is an excellent summary of the state of
+the field at the time that we started development of MathOptAI.
+
+> López-Flores, F.J., Ramírez-Márquez, C., Ponce-Ortega J.M. (2024). Process
+> Systems Engineering Tools for Optimization of Trained Machine Learning Models:
+> Comparative and Perspective. _Industrial & Engineering Chemistry Research_,
+> 63(32), 13966-13979. DOI: [10.1021/acs.iecr.4c00632](https://pubs.acs.org/doi/abs/10.1021/acs.iecr.4c00632)
+
 ## Documentation
 
 See the `docs/src` folder for now. When this repository is made public, we will

docs/src/index.md

@@ -20,7 +20,24 @@ suggestions, please [open a GitHub issue](https://github.com/lanl-ansi/MathOptAI
 
 ## Inspiration
 
-This project is inspired by two existing projects:
+This project is mainly inspired by two existing projects:
 
  * [OMLT](https://github.com/cog-imperial/OMLT)
  * [gurobi-machinelearning](https://github.com/Gurobi/gurobi-machinelearning)
+
+Other works, from which we took less inspiration, include:
+
+ * [JANOS](https://github.com/INFORMSJoC/2020.1023)
+ * [MeLOn](https://git.rwth-aachen.de/avt-svt/public/MeLOn)
+ * [ENTMOOT](https://github.com/cog-imperial/entmoot)
+ * [reluMIP](https://github.com/process-intelligence-research/ReLU_ANN_MILP)
+ * [OptiCL](https://github.com/hwiberg/OptiCL)
+ * [PySCIPOpt-ML](https://github.com/Opt-Mucca/PySCIPOpt-ML)
+
+The 2024 paper of López-Flores et al. is an excellent summary of the state of
+the field at the time that we started development of MathOptAI.
+
+> López-Flores, F.J., Ramírez-Márquez, C., Ponce-Ortega J.M. (2024). Process
+> Systems Engineering Tools for Optimization of Trained Machine Learning Models:
+> Comparative and Perspective. _Industrial & Engineering Chemistry Research_,
+> 63(32), 13966-13979. DOI: [10.1021/acs.iecr.4c00632](https://pubs.acs.org/doi/abs/10.1021/acs.iecr.4c00632)