| Smart predict-and-optimize for hard combinatorial optimization problems J Mandi, E Demirović, PJ Stuckey, T Guns Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1603-1610, 2020 | 131 | 2020 |
| Interior Point Solving for LP-based prediction+ optimisation J Mandi, T Guns Advances in Neural Information Processing Systems 33, 2020 | 83 | 2020 |
| Contrastive Losses and Solution Caching for Predict-and-Optimize M Mulamba, J Mandi, M Diligenti, M Lombardi, V Bucarey, T Guns IJCAI: proceedings of the conference/sponsored by the International Joint …, 2021 | 39 | 2021 |
| Decision-Focused Learning: Through the Lens of Learning to Rank J Mandi, V Bucarey, MMK Tchomba, T Guns International Conference on Machine Learning, 14935-14947, 2022 | 36 | 2022 |
| Use of Artificial Intelligence to Analyse Risk in Legal Documents for a Better Decision Support D Chakrabarti, N Patodia, U Bhattacharya, I Mitra, S Roy, J Mandi, N Roy, ... TENCON 2018-2018 IEEE Region 10 Conference, 0683-0688, 2018 | 20 | 2018 |
| Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities J Mandi, J Kotary, S Berden, M Mulamba, V Bucarey, T Guns, F Fioretto arXiv preprint arXiv:2307.13565, 2023 | 12 | 2023 |
| Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP J Mandi, R Canoy, V Bucarey, T Guns arXiv preprint arXiv:2108.04578, 2021 | 12 | 2021 |
| Hybrid classification and reasoning for image-based constraint solving M Mulamba, J Mandi, R Canoy, T Guns Integration of Constraint Programming, Artificial Intelligence, and …, 2020 | 12 | 2020 |
| How to ease Covid-19 lockdown? Forward guidance using a multi-dimensional vulnerability index J Mandi, M Chakrabarty, S Mukherjee Ideas for India, 2020 | 5 | 2020 |
| Probability estimation and structured output prediction for learning preferences in last mile delivery R Canoy, V Bucarey, J Mandi, M Mulamba, Y Molenbruch, T Guns Computers & Industrial Engineering, 109932, 2024 | 3 | 2024 |
| Learn and route: learning implicit preferences for vehicle routing R Canoy, V Bucarey, J Mandi, T Guns Constraints 28 (3), 363-396, 2023 | 2 | 2023 |
| Predict and Optimize: Through the Lens of Learning to Rank J Mandi, V Bucarey, M Mulamba, T Guns arXiv preprint arXiv:2112.03609, 2021 | 2 | 2021 |
| TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching R Canoy, J Mandi, VB Lopez, E Gamba, M Mulamba, T Guns Amazon Last-Mile Routing Research Challenge, XXX. 1-XXX. 9, 2021 | 2 | 2021 |
| Entropy-based consumption diversity—the case of India M Chakrabarty, J Mandi Opportunities and Challenges in Development: Essays for Sarmila Banerjee …, 2019 | 2 | 2019 |
| Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning M Silvestri, S Berden, J Mandi, Aİ Mahmutoğulları, M Mulamba, ... arXiv preprint arXiv:2307.05213, 2023 | | 2023 |
| Towards Scalable Decision-Focused Learning for Combinatorial Optimization Problems J Mandi Vrije Universiteit Brussel, 2023 | | 2023 |
| Sudoku Assistant M Mulamba, E Gamba, J Mandi, T Guns | | 2022 |
| Discrete solution pools and noise-contrastive estimation for predict-and-optimize M Mulamba, J Mandi, M Diligenti, M Lombardi, V Bucarey, T Guns arXiv e-prints, arXiv: 2011.05354, 2020 | | 2020 |
| Differentiable Optimization Layer with an Interior Point Approach⋆ J Mandi, T Guns | | 2020 |
| Earnings management in stressed firms A Banerjee, J Mandi, DN Mukherjee Business Standard, 2017 | | 2017 |
