Exploring Active and Passive Team-Based Coordination. - Priya L. Donti; James C. Boerkoel Jr. (AAAI Fall Symposia, 2014)

Predicting the Quality of User Experiences to Improve Productivity and Wellness. - Priya Lekha Donti; Jacob Rosenbloom; Alex Gruver; James C. Boerkoel Jr. (AAAI, 2015)

Task-based End-to-end Model Learning in Stochastic Optimization. - Priya L. Donti; J. Zico Kolter; Brandon Amos (NIPS, 2017)

Task-based End-to-end Model Learning. - Priya L. Donti; Brandon Amos; J. Zico Kolter (CoRR, 2017)

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. - Po-Wei Wang; Priya L. Donti; Bryan Wilder; J. Zico Kolter (ICML, 2019)

How machine learning can help tackle climate change. - Priya L. Donti (XRDS, 2020)

Matrix Completion for Low-Observability Voltage Estimation. - Priya L. Donti; Yajing Liu; Andreas Schmitt; Andrey Bernstein; Rui Yang 015; Yingchen Zhang (IEEE Trans. Smart Grid, 2020)

Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. - Bingqing Chen; Priya L. Donti; Kyri Baker; J. Zico Kolter; Mario Bergés (e-Energy, 2021)

Enforcing robust control guarantees within neural network policies. - Priya L. Donti; Melrose Roderick; Mahyar Fazlyab; J. Zico Kolter (ICLR, 2021)

DC3: A learning method for optimization with hard constraints. - Priya L. Donti; David Rolnick; J. Zico Kolter (ICLR, 2021)

Adversarially robust learning for security-constrained optimal power flow. - Priya L. Donti; Aayushya Agarwal; Neeraj Vijay Bedmutha; Larry T. Pileggi; J. Zico Kolter (NeurIPS, 2021)

Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. - Feras A. Batarseh; Priya L. Donti; Ján Drgona; Kristen Fletcher; Pierre-Adrien Hanania; Melissa Hatton; Srinivasan Keshav; Bran Knowles; Raphaela Kotsch; Sean McGinnis; Peetak Mitra; Alex Philp; et al. (CoRR, 2022)

Bridging Deep Learning and Electric Power Systems - Priya Lekha Donti (2022)

Tackling Climate Change with Machine Learning. - David Rolnick; Priya L. Donti; Lynn H. Kaack; Kelly Kochanski; Alexandre Lacoste; Kris Sankaran; Andrew Slavin Ross; Nikola Milojevic-Dupont; Natasha Jaques; Anna Waldman-Brown; Alexandra Sasha Luccioni; Tegan Maharaj; et al. (ACM Comput. Surv., 2023)

Position: Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (ICML, 2024)

Application-Driven Innovation in Machine Learning. - David Rolnick; Alán Aspuru-Guzik; Sara Beery; Bistra Dilkina; Priya L. Donti; Marzyeh Ghassemi; Hannah Kerner; Claire Monteleoni; Esther Rolf; Milind Tambe; Adam White (CoRR, 2024)

Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data. - Sheng Chai; Gus Chadney; Charlot Avery; Phil Grunewald; Pascal Van Hentenryck; Priya L. Donti (CoRR, 2024)

Improving Policy Optimization via ε-Retrain. - Luca Marzari; Priya L. Donti; Changliu Liu; Enrico Marchesini (AAMAS, 2025)

A Vision for Computational Decarbonization of Societal Infrastructure. - David E. Irwin 001; Prashant J. Shenoy; Mohammad Hajiesmaili; Walid A. Hanafy; Jimi Oke; Ramesh K. Sitaraman; Yuvraj Agarwal; Geoffrey J. Gordon; Zico Kolter; Deepak Rajagopal; Mani Srivastava 001; Vivienne Sze; et al. (IEEE Internet Comput., 2025)

RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations. - Enrico Marchesini; Benjamin Donnot; Constance Crozier; Ian Dytham; Christian Merz; Lars Schewe; Nico Westerbeck; Cathy Wu 002; Antoine Marot; Priya L. Donti (CoRR, 2025)

FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees. - Hoang T. Nguyen; Priya L. Donti (CoRR, 2025)