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Aron Brenner

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2024
[i5]
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  - journals/corr/abs-2401-10451
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Aron Brenner, Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin:
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach. CoRR abs/2401.10451 (2024)
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  - journals/corr/abs-2409-03731
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Aron Brenner, Rahman Khorramfar, Jennifer Sun, Saurabh Amin:
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization. CoRR abs/2409.03731 (2024)
2023
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  - conf/iccps/BrennerKA23
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Aron Brenner, Rahman Khorramfar, Saurabh Amin:
Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems. ICCPS 2023: 68-77
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  - journals/corr/abs-2303-08996
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Aron Brenner, Rahman Khorramfar, Saurabh Amin:
Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems. CoRR abs/2303.08996 (2023)
2022
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Aron Brenner, Manxi Wu, Saurabh Amin:
Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems. ITSC 2022: 901-908
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  - journals/corr/abs-2203-14191
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Aron Brenner, Manxi Wu, Saurabh Amin:
Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems. CoRR abs/2203.14191 (2022)
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  - journals/corr/abs-2209-12035
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Aron Brenner, Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin:
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints. CoRR abs/2209.12035 (2022)

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