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Pascal Van Hentenryck

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A Lagrangian Dual Framework for Deep Neural Networks with Constraints

Jan 26, 2020
Ferdinando Fioretto, Terrence WK Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck

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Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation

Oct 30, 2019
Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck

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Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods

Sep 19, 2019
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck

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Privacy-Preserving Obfuscation of Critical Infrastructure Networks

May 24, 2019
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck

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The Commute Trip Sharing Problem

Apr 24, 2019
Mohd Hafiz Hasan, Pascal Van Hentenryck, Antoine Legrain

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Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach

Feb 08, 2019
Xilei Zhao, Xiang Yan, Pascal Van Hentenryck

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Differential Privacy for Power Grid Obfuscation

Jan 21, 2019
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck

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Modeling Stated Preference for Mobility-on-Demand Transit: A Comparison of Machine Learning and Logit Models

Nov 04, 2018
Xilei Zhao, Xiang Yan, Alan Yu, Pascal Van Hentenryck

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Constraint and Mathematical Programming Models for Integrated Port Container Terminal Operations

Dec 14, 2017
Damla Kizilay, Deniz T. Eliiyi, Pascal Van Hentenryck

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Graphical Models for Optimal Power Flow

Jun 21, 2016
Krishnamurthy Dvijotham, Pascal Van Hentenryck, Michael Chertkov, Sidhant Misra, Marc Vuffray

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