Priya L. Donti

28 papers A* 5A 1Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cheap Thrills: Effective Amortized Optimization Using Inexpensive Labels. CoRR Khai Nguyen, Petros Ellinas, Anvita Bhagavathula, Priya L. Donti
2025	J	`jnl`	A Vision for Computational Decarbonization of Societal Infrastructure. IEEE Internet Comput. 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
2025	J	`jnl`	FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees. CoRR Hoang T. Nguyen, Priya L. Donti
2025	A	`conf`	Improving Policy Optimization via ε-Retrain. AAMAS Luca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini
2025	J	`jnl`	PFΔ: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations. CoRR Ana K. Rivera, Anvita Bhagavathula, Alvaro Carbonero, Priya L. Donti
2025	J	`jnl`	RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations. CoRR Enrico Marchesini, Benjamin Donnot, Constance Crozier, Ian Dytham, Christian Merz, Lars Schewe, Nico Westerbeck, Cathy Wu, Antoine Marot, Priya L. Donti
2024	J	`jnl`	Application-Driven Innovation in Machine Learning. CoRR David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024	J	`jnl`	Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data. CoRR Sheng Chai, Gus Chadney, Charlot Avery, Phil Grunewald, Pascal Van Hentenryck, Priya L. Donti
2024	J	`jnl`	Improving Policy Optimization via ε-Retrain. CoRR Luca Marzari, Changliu Liu, Priya L. Donti, Enrico Marchesini
2024	A*	`conf`	Position: Application-Driven Innovation in Machine Learning. ICML David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2023	J	`jnl`	Tackling Climate Change with Machine Learning. ACM Comput. Surv. 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
2022	J	`jnl`	Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. CoRR 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
2021	J	`jnl`	Adversarially Robust Learning for Security-Constrained Optimal Power Flow. CoRR Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter
2021	A*	`conf`	Adversarially robust learning for security-constrained optimal power flow. NeurIPS Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter
2021	A*	`conf`	DC3: A learning method for optimization with hard constraints. ICLR Priya L. Donti, David Rolnick, J. Zico Kolter
2021	J	`jnl`	DC3: A learning method for optimization with hard constraints. CoRR Priya L. Donti, David Rolnick, J. Zico Kolter
2021	—	`conf`	Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. e-Energy Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés
2021	J	`jnl`	Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges
2021	A*	`conf`	Enforcing robust control guarantees within neural network policies. ICLR Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter
2020	J	`jnl`	Enforcing robust control guarantees within neural network policies. CoRR Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter
2020	J	`jnl`	How machine learning can help tackle climate change. XRDS Priya L. Donti
2020	J	`jnl`	Matrix Completion for Low-Observability Voltage Estimation. IEEE Trans. Smart Grid Priya L. Donti, Yajing Liu, Andreas Schmitt, Andrey Bernstein, Rui Yang, Yingchen Zhang
2019	A*	`conf`	SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. ICML Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter
2019	J	`jnl`	SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. CoRR Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter
2019	J	`jnl`	Tackling Climate Change with Machine Learning. CoRR 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 Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio
2017	—	`conf`	Task-based End-to-end Model Learning in Stochastic Optimization. NIPS Priya L. Donti, J. Zico Kolter, Brandon Amos
2017	J	`jnl`	Task-based End-to-end Model Learning. CoRR Priya L. Donti, Brandon Amos, J. Zico Kolter
2014	—	`conf`	Exploring Active and Passive Team-Based Coordination. AAAI Fall Symposia Priya L. Donti, James C. Boerkoel Jr.