Mathieu Tanneau

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Mixed Integer Program

Economic Dispatch

Top Venues

J. Glob. Optim.

IEEE Trans. Smart Grid

Publications

Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
Compact Optimality Verification for Optimization Proxies. CoRR (2024)
Mathieu Tanneau, Pascal Van Hentenryck
Dual Lagrangian Learning for Conic Optimization. CoRR (2024)
Michael Klamkin, Mathieu Tanneau, Pascal Van Hentenryck
Dual Interior-Point Optimization Learning. CoRR (2024)
Rahul Nellikkath, Mathieu Tanneau, Pascal Van Hentenryck, Spyros Chatzivasileiadis
Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow. CoRR (2024)
Haoruo Zhao, Hassan L. Hijazi, Haydn Jones, Juston Moore, Mathieu Tanneau, Pascal Van Hentenryck
Bound Tightening Using Rolling-Horizon Decomposition for Neural Network Verification. CPAIOR (2) (2024)
Guancheng Qiu, Mathieu Tanneau, Pascal Van Hentenryck
Dual Conic Proxies for AC Optimal Power Flow. CoRR (2023)
Andrew W. Rosemberg, Mathieu Tanneau, Bruno Fanzeres, Joaquim Dias Garcia, Pascal Van Hentenryck
Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks. CoRR (2023)
Kevin Wu, Mathieu Tanneau, Pascal Van Hentenryck
Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices. CoRR (2023)
Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
Learning Regionally Decentralized AC Optimal Power Flows With ADMM. IEEE Trans. Smart Grid 14 (6) (2023)
Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, V. Roshan Joseph, Shangkun Wang, Pascal Van Hentenryck
Asset Bundling for Wind Power Forecasting. CoRR (2023)
Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck
End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. CoRR (2023)
Andrea Lodi, Mathieu Tanneau, Juan Pablo Vielma
Disjunctive cuts in Mixed-Integer Conic Optimization. Math. Program. 199 (1) (2023)
Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck
Active Bucketized Learning for ACOPF Optimization Proxies. CoRR (2022)
Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
Learning Regionally Decentralized AC Optimal Power Flows with ADMM. CoRR (2022)
Oliver Stover, Pranav Karve, Sankaran Mahadevan, Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck
Just-In-Time Learning for Operational Risk Assessment in Power Grids. CoRR (2022)
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
Risk-Aware Control and Optimization for High-Renewable Power Grids. CoRR (2022)
Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR (2022)
Defeng Liu, Andrea Lodi, Mathieu Tanneau
Learning chordal extensions. J. Glob. Optim. 81 (1) (2021)
Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR (2021)
Mathieu Tanneau, Miguel F. Anjos, Andrea Lodi
Design and implementation of a modular interior-point solver for linear optimization. Math. Program. Comput. 13 (3) (2021)
Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
Data-Driven Time Series Reconstruction for Modern Power Systems Research. CoRR (2021)
Defeng Liu, Andrea Lodi, Mathieu Tanneau
Learning chordal extensions. CoRR (2019)