Priya L. Donti

According to our database, Priya L. Donti authored at least 26 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

ε-retraining reinforcement learning algorithms.

Luca Marzari, Changliu Liu, Priya L. Donti, Enrico Marchesini

Auton. Agents Multi Agent Syst., June, 2026

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

Rahman Khorramfar, Aron Brenner, Lara Booth, Ana K. Rivera, Ruaridh Macdonald, Priya L. Donti, Saurabh Amin

CoRR, April, 2026

Improving Feasibility via Fast Autoencoder-Based Projections.

Maria Chzhen, Priya L. Donti

CoRR, April, 2026

Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels.

Khai Nguyen, Petros Ellinas, Anvita Bhagavathula, Priya L. Donti

CoRR, March, 2026

2025

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

Ana K. Rivera, Anvita Bhagavathula, Alvaro Carbonero, Priya L. Donti

CoRR, October, 2025

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

Hoang T. Nguyen, Priya L. Donti

CoRR, June, 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, Antoine Marot, Priya L. Donti

CoRR, March, 2025

A Vision for Computational Decarbonization of Societal Infrastructure.

David Irwin, Prashant J. Shenoy, Mohammad Hajiesmaili, Walid A. Hanafy, Jimi Oke, Ramesh K. Sitaraman, Yuvraj Agarwal, Geoffrey J. Gordon, Zico Kolter, Deepak Rajagopal, Mani Srivastava, Vivienne Sze, Priya L. Donti, Andrew A. Chien, John R. Birge, Ali Hortaçsu, Line Roald

IEEE Internet Comput., 2025

Improving Policy Optimization via ε-Retrain.

Luca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

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

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio

ACM Comput. Surv., 2023

2022

Bridging Deep Learning and Electric Power Systems

Priya Lekha Donti

PhD thesis, 2022

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, Jim Spohrer, Frank Stein, Meghna Tare, Svitlana Volkov, Gege Wen

CoRR, 2022

2021

Adversarially robust learning for security-constrained optimal power flow.

Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DC3: A learning method for optimization with hard constraints.

Priya L. Donti, David Rolnick, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

Enforcing robust control guarantees within neural network policies.

Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization.

Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020

Matrix Completion for Low-Observability Voltage Estimation.

Priya L. Donti, Yajing Liu, Andreas Schmitt, Andrey Bernstein, Rui Yang, Yingchen Zhang

IEEE Trans. Smart Grid, 2020

How machine learning can help tackle climate change.

Priya L. Donti

XRDS, 2020

2019

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

Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Task-based End-to-end Model Learning.

Priya L. Donti, Brandon Amos, J. Zico Kolter

CoRR, 2017

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

Priya L. Donti, J. Zico Kolter, Brandon Amos

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

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

Priya Lekha Donti, Jacob Rosenbloom, Alex Gruver, James C. Boerkoel Jr.

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Exploring Active and Passive Team-Based Coordination.

Priya L. Donti, James C. Boerkoel Jr.

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014