Mathieu Tanneau

According to our database, Mathieu Tanneau authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Compact Optimality Verification for Optimization Proxies.

Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2024

Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow.

Rahul Nellikkath, Mathieu Tanneau, Pascal Van Hentenryck, Spyros Chatzivasileiadis

CoRR, 2024

Dual Lagrangian Learning for Conic Optimization.

Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2024

Dual Interior-Point Optimization Learning.

Michael Klamkin, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2024

Bound Tightening Using Rolling-Horizon Decomposition for Neural Network Verification.

Haoruo Zhao, Hassan L. Hijazi, Haydn Jones, Juston Moore, Mathieu Tanneau, Pascal Van Hentenryck

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

2023

Learning Regionally Decentralized AC Optimal Power Flows With ADMM.

Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck

IEEE Trans. Smart Grid, November, 2023

Disjunctive cuts in Mixed-Integer Conic Optimization.

Andrea Lodi, Mathieu Tanneau, Juan Pablo Vielma

Math. Program., May, 2023

Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks.

Andrew W. Rosemberg, Mathieu Tanneau, Bruno Fanzeres, Joaquim Dias Garcia, Pascal Van Hentenryck

CoRR, 2023

Dual Conic Proxies for AC Optimal Power Flow.

Guancheng Qiu, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2023

Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices.

Kevin Wu, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2023

Asset Bundling for Wind Power Forecasting.

Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, V. Roshan Joseph, Shangkun Wang, Pascal Van Hentenryck

CoRR, 2023

End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch.

Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2023

2022

Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments.

Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2022

Just-In-Time Learning for Operational Risk Assessment in Power Grids.

Oliver Stover, Pranav Karve, Sankaran Mahadevan, Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2022

Active Bucketized Learning for ACOPF Optimization Proxies.

Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck

CoRR, 2022

Risk-Aware Control and Optimization for High-Renewable Power Grids.

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

CoRR, 2022

2021

Design and implementation of a modular interior-point solver for linear optimization.

Mathieu Tanneau, Miguel F. Anjos, Andrea Lodi

Math. Program. Comput., 2021

Learning chordal extensions.

Defeng Liu, Andrea Lodi, Mathieu Tanneau

J. Glob. Optim., 2021

Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch.

Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2021

Data-Driven Time Series Reconstruction for Modern Power Systems Research.

Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2021