P. Donti

Most-cited papers

1. Tackling Climate Change with Machine Learning

   D. Rolnick, P. Donti, L. Kaack, K. Kochanski +18 more

   2019ACM Computing Surveys1,304 citations Open access

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2. Task-based End-to-end Model Learning in Stochastic Optimization

   P. Donti, Brandon Amos, J. Kolter

   2017Neural Information Processing Systems537 citations

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3. Aligning artificial intelligence with climate change mitigation

   L. Kaack, P. Donti, Emma Strubell, George Kamiya +2 more

   2022Nature Climate Change469 citations

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4. DC3: A learning method for optimization with hard constraints

   P. Donti, D. Rolnick, J. Kolter

   2021International Conference on Learning Representations338 citations

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5. SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

   Po-Wei Wang, P. Donti, Bryan Wilder, J. Kolter

   2019International Conference on Machine Learning337 citations

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6. Machine Learning for Sustainable Energy Systems

   P. Donti, J. Kolter

   2021Annual Review Environment and Resources100 citations Open access

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7. Matrix Completion for Low-Observability Voltage Estimation

   P. Donti, Yajing Liu, A. Schmitt, Andrey Bernstein +2 more

   2018IEEE Transactions on Smart Grid82 citations Open access

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8. Enforcing robust control guarantees within neural network policies

   P. Donti, Melrose Roderick, Mahyar Fazlyab, J. Kolter

   2020International Conference on Learning Representations72 citations

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9. Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization

   Bing-Qing Chen, P. Donti, K. Baker, J. Kolter +1 more

   2021Energy-Efficient Computing and Networking71 citations Open access

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10. Aligning artificial intelligence with climate change mitigation

    L. Kaack, P. Donti, Emma Strubell, George Kamiya +2 more

    39 citations

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11. Application-Driven Innovation in Machine Learning

    D. Rolnick, Alán Aspuru-Guzik, Sara Beery, B. Dilkina +7 more

    2024International Conference on Machine Learning37 citations

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12. FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees

    Hoang T. Nguyen, P. Donti

    2025Neural Information Processing Systems28 citations

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13. Adversarially Robust Learning for Security-Constrained Optimal Power Flow

    P. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry Pileggi +1 more

    2021Neural Information Processing Systems25 citations

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14. Task-based End-to-end Model Learning

    P. Donti, Brandon Amos, J. Kolter

    2017arXiv.org25 citations

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15. RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations

    E. Marchesini, Benjamin Donnot, Constance Crozier, Ian Dytham +6 more

    2025arXiv.org22 citations

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16. How Much Are We Saving after All? Characterizing the Effects of Commonly Varying Assumptions on Emissions and Damage Estimates in PJM.

    P. Donti, J. Kolter, Inês M. L. Azevedo

    2019Environmental Science and Technology20 citations Open access

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17. PFΔ: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations

    A. K. Rivera, Anvita Bhagavathula, Alvaro Carbonero, P. Donti

    2025Neural Information Processing Systems12 citations

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18. Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data

    Sheng Chai, Gus Chadney, Charlot Avery, P. Grunewald +2 more

    2024arXiv.org12 citations

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19. Employing adversarial robustness techniques for large-scale stochastic optimal power flow

    Aayushya Agarwal, P. Donti, J. Kolter, Lawrence T. Pileggi

    2022Electric power systems research11 citations Open access

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20. Inverse Optimal Power Flow: Assessing the Vulnerability of Power Grid Data

    P. Donti, I. Azevedo, J. Kolter

    20189 citations

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21. A Call for Universities to Develop Requirements for Community Engagement in AI Research

    Emily Black, Michael A. Madaio, Joshua Williams, P. Donti

    9 citations

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22. Improving Policy Optimization via ε-Retrain

    Luca Marzari, Chang-Liu Liu, P. Donti, E. Marchesini

    2024Adaptive Agents and Multi-Agent Systems8 citations

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23. Digitizing a sustainable future

    L. Reisch, L. Joppa, P. Howson, A. Gil +11 more

    2021One Earth8 citations Open access

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24. Physics-Informed Graph Neural Networks for Robust AC-Optimal Power Flow

    Anna Varbella, Damien Briens, B. Gjorgiev, Giuseppe Alessio D'Inverno +2 more

    20247 citations

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25. A Vision for Computational Decarbonization of Societal Infrastructure

    David Irwin, Prashant J. Shenoy, Mohammad H. Hajiesmaili, Walid A. Hanafy +13 more

    2025IEEE Internet Computing5 citations

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26. How machine learning can help tackle climate change

    P. Donti

    2020XRDS5 citations Open access

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27. Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges

    Feras A. Batarseh, P. Donti, Ján Drgoňa, Kristen Fletcher +13 more

    2022arXiv.org4 citations Open access

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28. Climate change + AI: Tackling climate change with machine learning

    K. Kochanski, D. Rolnick, P. Donti, L. Kaack

    20194 citations

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29. Improving Feasibility via Fast Autoencoder-Based Projections

    Maria Chzhen, P. Donti

    2026arXiv.org3 citations

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30. Predicting the Quality of User Experiences to Improve Productivity and Wellness

    P. Donti, Jacob Rosenbloom, Alexander Gruver, James C. Boerkoel

    2015AAAI Conference on Artificial Intelligence3 citations Open access

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31. Large Scale Bilevel Optimization for N-K SCOPF Using Adversarial Robustness

    Aayushya Agarwal, P. Donti, J. Kolter, Lawrence T. Pileggi

    2025IEEE Transactions on Power Systems2 citations

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32. Strategic bid response under automated market power mitigation in electricity markets

    C. F. Bassini, Jacqueline Adelowo, P. Donti, L. Kaack

    2025Energy Economics2 citations Open access

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33. Bridging Deep Learning and Electric Power Systems

    P. Donti

    20222 citations

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34. Optimization Under Uncertainty for Energy Infrastructure Planning: A Synthesis of Methods, Tools, and Open Challenges

    Rahman Khorramfar, Aron Brenner, L. Booth, Ana Rivera +3 more

    2026European Journal of Operational Research1 citations

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35. Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels

    Khai Nguyen, Petros Ellinas, Anvita Bhagavathula, P. Donti

    2026arXiv.org1 citations

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36. Communication-Limited Multi-Agent Grid Congestion Management via Differentiable Optimization

    James Y Chen, Stéphane Drobot, L. Saludjian, P. Panciatici +3 more

    2026Energy-Efficient Computing and Networking0 citations Open access

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37. Modeling of network constraints in large-scale capacity expansion optimization of power grids

    Yung-Tsai Weng, L. Booth, P. Donti, Ruaridh Macdonald

    2026Electric power systems research0 citations Open access

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38. Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration

    H. Nguyen, Shao-Hui Liu, R. Biswas, Varsha Pendyala +3 more

    20260 citations

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39. DCEmbed: Scalable Optimization over Neural Surrogates

    Akshay Sreekumar, Nicolas H. Christianson, P. Donti, Ellen Vitercik +1 more

    20260 citations

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40. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varepsilon $$\end{document}-retraining reinforcement learning algorit

    Luca Marzari, Chang-Liu Liu, P. Donti, E. Marchesini

    2026Autonomous Agents and Multi-Agent Systems0 citations Open access

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41. Exploring Active and Passive Team-Based Coordination

    P. Donti, James C. Boerkoel

    2014AAAI Fall Symposia0 citations

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42. The Authors

    P. Donti, Emma Strubell, D. Rolnick

    20130 citations

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43. About the Authors

    P. Donti, Emma Strubell, D. Rolnick

    20120 citations

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44. Improving Policy Optimization via 𝐿 -Retrain

    P. Donti, Changliu Liu

    0 citations

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45. An adversarially robust approach to security-constrained optimal power flow

    N. Vijay, Bedmutha, P. Donti, J. Kolter

    0 citations

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