Mathieu Tanneau

33 papers A* 2Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting. CoRR Alireza Moradi, Mathieu Tanneau, Reza Zandehshahvar, Pascal Van Hentenryck
2026	J	`jnl`	Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices. CoRR Shuaicheng Tong, Michael A. Boateng, Mathieu Tanneau, Pascal Van Hentenryck
2025	J	`jnl`	Conformal Prediction with Upper and Lower Bound Models. CoRR Miao Li, Michael Klamkin, Mathieu Tanneau, Reza Zandehshahvar, Pascal Van Hentenryck
2025	J	`jnl`	Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow. CoRR Guancheng Qiu, Mathieu Tanneau, Pascal Van Hentenryck
2025	J	`jnl`	Enhanced Renewable Energy Forecasting using Context-Aware Conformal Prediction. CoRR Alireza Moradi, Mathieu Tanneau, Reza Zandehshahvar, Pascal Van Hentenryck
2025	J	`jnl`	PGLearn - An Open-Source Learning Toolkit for Optimal Power Flow. CoRR Michael Klamkin, Mathieu Tanneau, Pascal Van Hentenryck
2025	J	`jnl`	Scalable Iterative Algorithm for Solving Optimal Transmission Switching with De-energization. CoRR Benoît Jeanson, Mathieu Tanneau, Simon H. Tindemans
2025	J	`jnl`	Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch. CoRR Michael Klamkin, Mathieu Tanneau, Pascal Van Hentenryck
2024	—	`conf`	Bound Tightening Using Rolling-Horizon Decomposition for Neural Network Verification. CPAIOR (2) Haoruo Zhao, Hassan L. Hijazi, Haydn Thomas Jones, Juston Moore, Mathieu Tanneau, Pascal Van Hentenryck
2024	A*	`conf`	Compact Optimality Verification for Optimization Proxies. ICML Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
2024	J	`jnl`	Compact Optimality Verification for Optimization Proxies. CoRR Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
2024	J	`jnl`	Dual Interior-Point Optimization Learning. CoRR Michael Klamkin, Mathieu Tanneau, Pascal Van Hentenryck
2024	A*	`conf`	Dual Lagrangian Learning for Conic Optimization. NeurIPS Mathieu Tanneau, Pascal Van Hentenryck
2024	J	`jnl`	Dual Lagrangian Learning for Conic Optimization. CoRR Mathieu Tanneau, Pascal Van Hentenryck
2024	J	`jnl`	Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow. CoRR Rahul Nellikkath, Mathieu Tanneau, Pascal Van Hentenryck, Spyros Chatzivasileiadis
2024	J	`jnl`	Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems. CoRR Hanyu Zhang, Reza Zandehshahvar, Mathieu Tanneau, Pascal Van Hentenryck
2023	J	`jnl`	Asset Bundling for Wind Power Forecasting. CoRR Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, V. Roshan Joseph, Shangkun Wang, Pascal Van Hentenryck
2023	J	`jnl`	Disjunctive cuts in Mixed-Integer Conic Optimization. Math. Program. Andrea Lodi, Mathieu Tanneau, Juan Pablo Vielma
2023	J	`jnl`	Dual Conic Proxies for AC Optimal Power Flow. CoRR Guancheng Qiu, Mathieu Tanneau, Pascal Van Hentenryck
2023	J	`jnl`	End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. CoRR Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck
2023	J	`jnl`	Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks. CoRR Andrew W. Rosemberg, Mathieu Tanneau, Bruno Fanzeres, Joaquim Dias Garcia, Pascal Van Hentenryck
2023	J	`jnl`	Learning Regionally Decentralized AC Optimal Power Flows With ADMM. IEEE Trans. Smart Grid Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
2023	J	`jnl`	Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices. CoRR Kevin Wu, Mathieu Tanneau, Pascal Van Hentenryck
2022	J	`jnl`	Active Bucketized Learning for ACOPF Optimization Proxies. CoRR Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck
2022	J	`jnl`	Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck
2022	J	`jnl`	Just-In-Time Learning for Operational Risk Assessment in Power Grids. CoRR Oliver Stover, Pranav Karve, Sankaran Mahadevan, Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
2022	J	`jnl`	Learning Regionally Decentralized AC Optimal Power Flows with ADMM. CoRR Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
2022	J	`jnl`	Risk-Aware Control and Optimization for High-Renewable Power Grids. CoRR Neil Barry, Minas Chatzos, Wenbo Chen, Dahye Han, Chaofan Huang, Roshan Joseph, Michael Klamkin, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck, Shangkun Wang, Hanyu Zhang, Haoruo Zhao
2021	J	`jnl`	Data-Driven Time Series Reconstruction for Modern Power Systems Research. CoRR Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
2021	J	`jnl`	Design and implementation of a modular interior-point solver for linear optimization. Math. Program. Comput. Mathieu Tanneau, Miguel F. Anjos, Andrea Lodi
2021	J	`jnl`	Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck
2021	J	`jnl`	Learning chordal extensions. J. Glob. Optim. Defeng Liu, Andrea Lodi, Mathieu Tanneau
2019	J	`jnl`	Learning chordal extensions. CoRR Defeng Liu, Andrea Lodi, Mathieu Tanneau