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Mathieu Tanneau
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2020 – today
- 2024
- [c2]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: 289-303 - [c1]Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck:
Compact Optimality Verification for Optimization Proxies. ICML 2024 - [i18]Michael Klamkin, Mathieu Tanneau
Dual Interior-Point Optimization Learning. CoRR abs/2402.02596 (2024) - [i17]Mathieu Tanneau
Dual Lagrangian Learning for Conic Optimization. CoRR abs/2402.03086 (2024) - [i16]Rahul Nellikkath, Mathieu Tanneau, Pascal Van Hentenryck, Spyros Chatzivasileiadis:
Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow. CoRR abs/2405.06109 (2024) - [i15]Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck:
Compact Optimality Verification for Optimization Proxies. CoRR abs/2405.21023 (2024) - [i14]Hanyu Zhang, Reza Zandehshahvar, Mathieu Tanneau, Pascal Van Hentenryck:
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems. CoRR abs/2409.07637 (2024) - 2023
- [j4]Andrea Lodi, Mathieu Tanneau
Disjunctive cuts in Mixed-Integer Conic Optimization. Math. Program. 199(1): 671-719 (2023) - [j3]Terrence W. K. Mak
Learning Regionally Decentralized AC Optimal Power Flows With ADMM. IEEE Trans. Smart Grid 14(6): 4863-4876 (2023) - [i13]Wenbo Chen, Mathieu Tanneau
End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. CoRR abs/2304.11726 (2023) - [i12]Hanyu Zhang, Mathieu Tanneau
Asset Bundling for Wind Power Forecasting. CoRR abs/2309.16492 (2023) - [i11]Kevin Wu, Mathieu Tanneau
Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices. CoRR abs/2310.02347 (2023) - [i10]Guancheng Qiu, Mathieu Tanneau
Dual Conic Proxies for AC Optimal Power Flow. CoRR abs/2310.02969 (2023) - [i9]Andrew W. Rosemberg, Mathieu Tanneau
Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks. CoRR abs/2310.04605 (2023) - 2022
- [i8]Neil Barry, Minas Chatzos, Wenbo Chen
Risk-Aware Control and Optimization for High-Renewable Power Grids. CoRR abs/2204.00950 (2022) - [i7]Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau
Learning Regionally Decentralized AC Optimal Power Flows with ADMM. CoRR abs/2205.03787 (2022) - [i6]Michael Klamkin, Mathieu Tanneau
Active Bucketized Learning for ACOPF Optimization Proxies. CoRR abs/2208.07497 (2022) - [i5]Oliver Stover, Pranav Karve, Sankaran Mahadevan, Wenbo Chen
Just-In-Time Learning for Operational Risk Assessment in Power Grids. CoRR abs/2209.12762 (2022) - [i4]Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck:
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR abs/2211.15755 (2022) - 2021
- [j2]Defeng Liu, Andrea Lodi
Learning chordal extensions. J. Glob. Optim. 81(1): 3-22 (2021) - [j1]Mathieu Tanneau
Design and implementation of a modular interior-point solver for linear optimization. Math. Program. Comput. 13(3): 509-551 (2021) - [i3]Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck:
Data-Driven Time Series Reconstruction for Modern Power Systems Research. CoRR abs/2110.13772 (2021) - [i2]Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck:
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR abs/2112.13469 (2021)
2010 – 2019
- 2019
- [i1]Defeng Liu, Andrea Lodi, Mathieu Tanneau:
Learning chordal extensions. CoRR abs/1910.07600 (2019)
Coauthor Index
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