| OMLT: Optimization & machine learning toolkit F Ceccon, J Jalving, J Haddad, A Thebelt, C Tsay, CD Laird, R Misener Journal of Machine Learning Research 23 (349), 1-8, 2022 | 103 | 2022 |
| Partition-based formulations for mixed-integer optimization of trained relu neural networks C Tsay, J Kronqvist, A Thebelt, R Misener Advances in Neural Information Processing Systems 34, 3068-3080, 2021 | 91 | 2021 |
| Maximizing information from chemical engineering data sets: Applications to machine learning A Thebelt, J Wiebe, J Kronqvist, C Tsay, R Misener Chemical Engineering Science 252, 117469, 2022 | 78 | 2022 |
| ENTMOOT: A Framework for Optimization over Ensemble Tree Models A Thebelt, J Kronqvist, M Mistry, RM Lee, N Sudermann-Merx, R Misener Computers & Chemical Engineering, 107343, 2021 | 45 | 2021 |
| Multi-objective constrained optimization for energy applications via tree ensembles A Thebelt, C Tsay, RM Lee, N Sudermann-Merx, D Walz, T Tranter, ... Applied Energy 306, 118061, 2022 | 30 | 2022 |
| Design of 24/7 continuous hydrogen production system employing the solar-powered thermochemical S–I cycle J Cumpston, R Herding, F Lechtenberg, C Offermanns, A Thebelt, K Roh International Journal of Hydrogen Energy 45 (46), 24383-24396, 2020 | 23 | 2020 |
| Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces A Thebelt, C Tsay, R Lee, N Sudermann-Merx, D Walz, B Shafei, ... Advances in Neural Information Processing Systems 35, 37401-37415, 2022 | 13 | 2022 |
| Global Optimization with Ensemble Machine Learning Models A Thebelt, J Kronqvist, RM Lee, N Sudermann-Merx, R Misener Computer Aided Chemical Engineering 48, 1981-1986, 2020 | 7 | 2020 |
| Presentation abstract: Optimization formulations for machine learning surrogates F Ceccon, J Jalving, J Haddad, A Thebelt, C Tsay, CD Laird, R Misener 14th International Symposium on Process Systems Engineering 49, 57-58, 2022 | 1 | 2022 |
| Verification of Neural-Network-Based Explicit Control Systems Using Mixed-Integer Programming C Tsay, J Kronqvist, A Thebelt, R Misener 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Machine Learning Surrogates with OMLT and IDAES for Improved Design and Analysis of Energy Systems B Ammari, F Ceccon, JH Jalving, J Haddad, A Thebelt, C Tsay, ML Bynum, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Training and Reformulating Neural Network Surrogate Models for Optimization C Tsay, J Kronqvist, A Thebelt, R Misener 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Division Plenary (CAST): Entmoot: A Framework for Optimization over Ensemble Tree Models R Misener, A Thebelt, J Kronqvist, M Mistry, N Sudermann-Merx, RM Lee 2020 AIChE Annual Meeting, 2020 | | 2020 |
Calvin TsayImperial College London, Department of ComputingE-mailová adresa ověřena na: imperial.ac.uk