Publications

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In Press

2024

  • Learning Joint Models of Prediction and Optimization. James Kotarya, Vincenzo Di Vitoa, Jacob Christophera, Pascal Van Hentenryck and Ferdinando Fioretto. 27th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, October 2024.
  • A New Optimization Model for Multiple-Control Toffoli Quantum Circuit Design. Jihye Jung, Kevin Dalmeijer, and Pascal Van Hentenryck. In the Proceeding of Thirtieth International Conference on Principles and Practice of Constraint Programming (CP 2024), September 2-6, 2024, Girona, Spain.
  • On the Effects of Fairness to Adversarial Vulnerability. Cuong Tran, Keyu Zhu, Ferdinando Fioretto, and Pascal Van Hentenryck. In the Proceedings of the 33rd Joint International Conference on Artificial Intelligence (IJCAI-2024), Jeju, South Korea, August 2024.
  • Empathy and AI:  Achieving Equitable Microtransit for Underserved Communities. Eleni Bardaka, Pascal Van Hentenryck, Crystal C. Lee, Christopher B. Mayhorn, Kai Monast, Samitha Samaranayake and Munindar P. Sing. In the Proceedings of the 33rd Joint International Conference on Artificial Intelligence (IJCAI-2024), Jeju, South Korea, August 2024.
  • The Impact of Dedicated Lanes on On-Demand Multimodal Transit Systems. Jason Lu, Anthony Trasatti, Hongzhao Guan, Kevin Dalmeijer, and Pascal Van Hentenryck. Travel Behaviour and Society, 36, July 2024.
  • Compact Optimality Verification for Optimization Proxies. Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, and Pascal Van Hentenryck. In the Proceedings of The 41st International Conference on Machine Learning (ICML 2024), Vienna, July, 2024.
  • Investigating Large Neighbourhood Search for Bus Driver Scheduling. Tommaso Mazzoli, Lucas Kletzander, Nysret Musliu, and Pascal Van Hentenryck. In the Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS’2024), Banff, Alberta, Canada, June 2024.
  • Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks. Andrew Rosemberg, Mathieu Tanneau, Bruno Fanzeres, Joaquim Garcia, and Pascal Van Hentenryck. Proceedings of the 23rd International Power Systems Computation Conference (PSCC’2024), Paris-Saclay, France, June 4-7, 2024.
  • Dual Conic Proxies for AC Optimal Power Flow. Guancheng Qiu, Mathieu Tanneau, and Pascal Van Hentenryck. Proceedings of the 23rd International Power Systems Computation Conference (PSCC’2024), Paris-Saclay, France, June 4-7, 2024.
  • Real-Time Risk Analysis with Optimization Proxies. Wenbo Chen, Mathieu Tanneau, and Pascal Van Hentenryck. Proceedings of the 23rd International Power Systems Computation Conference (PSCC’2024), Paris-Saclay, France, June 4-7, 2024.
  • Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices. Kevin Wu, Mathieu Tanneau, and Pascal Van Hentenryck. Proceedings of the 23rd International Power Systems Computation Conference (PSCC’2024), Paris-Saclay, France, June 4-7, 2024.
  • Bucketized Active Sampling for Learning ACOPF. Michael Klamkin, Mathieu Tanneau, Terrence W.K. Mak, and Pascal Van Hentenryck. Proceedings of the 23rd International Power Systems Computation Conference (PSCC’2024), Paris-Saclay, France, June 4-7, 2024.
  • Asset Bundling for Wind Power Forecasting. Hanyu Zhang, Mathieu Tanneau, Chaofan Huang,  Roshan Joseph, Shangkun Wang, and Pascal Van Hentenryck. Proceedings of the 23rd International Power Systems Computation Conference (PSCC’2024), Paris-Saclay, France, June 4-7, 2024.
  • Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification. Haoruo Zhao, Hassan Hijazi, Haydn Jones, Juston Moore, Mathieu Tanneau, and Pascal Van Hentenryck.
    In the the 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2024), Uppsala, Sweden, May 2024.
  • Adoption of Artificial Intelligence by Electric Utilities, Daniel D. Slate, Alexandre Parisot, Liang Min, Patrick Panciatici and Pascal Van Hentenryck, Energy Law Journal, 45(1), 2024.
  • Measuring Transit Equity of an On-Demand Multimodal Transit System, Uijeong Hwang, Seung Jae Lieu, Hongzhao Guan, Kevin Dalmeijer, Pascal Van Hentenryck, and Subhrajit Guhathakurta. Journal of the American Planning Association, April 2024 (online).
  • End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. Wenbo Chen, Mathieu Tanneau, and Pascal Van Hentenryck. IEEE Transactions on Power Systems, 39(2), 4723-4734, March 2024.
  • Compact Optimization Learning for AC Optimal Power Flow, Seonho Park, Wenbo Chen, Terrence W.K. Mak, and Pascal Van Hentenryck, IEEE Transactions on Power Systems, 39(2), 4350-4359, March 2024.
  • Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, and Pascal Van Hentenryck. IEEE Transactions on Power Systems, 39(2), 3839-3850, March 2024.
  • AI4OPT: AI Institute for Advances in Optimization. Pascal Van Hentenryck and Kevin Dalmeijer.
    AI Magazine, 1-6, February 2024.
  • Comparing Different Methods for Connecting Bike Lanes to Generate a Complete Bike Network and Identify Potential Complete Streets in Atlanta. Uijeong Hwang, Ilsu Kim, Subhrajit Guhathakurta, and Pascal Van Hentenryck. Journal of Cycling and Micromobility Research, 2, 2024.
  • Finding the epsilon and delta of Traditional Disclosure Control Systems. Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task. In the  Thirty-Eight AAAI Conference on Artificial Intelligence (AAAI-24), 38(20), 22013-22020, Vancouver, February, 2024.
  • Revitalizing Public Transit In Low Ridership Areas: An Exploration of On-demand Multimodal Transit Systems. Jiawei Lu, Connor Riley, Krishna Murthy Gurumurthy, and Pascal Van Hentenryck. Transportation Research Board Annual Conference (TRB-2024), January 2024.

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Working Papers

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Working Papers