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ORCIDPriya L. Donti
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2020 – today
- 2024
[c9]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
Position: Application-Driven Innovation in Machine Learning. ICML 2024- [i11]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni
, Esther Rolf, Milind Tambe, Adam White:
Application-Driven Innovation in Machine Learning. CoRR abs/2403.17381 (2024) - [i10]Luca Marzari, Changliu Liu, Priya L. Donti, Enrico Marchesini:
Improving Policy Optimization via ε-Retrain. CoRR abs/2406.08315 (2024) - [i9]Sheng Chai, Gus Chadney, Charlot Avery, Phil Grunewald, Pascal Van Hentenryck, Priya L. Donti:
Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data. CoRR abs/2407.11785 (2024) - 2023
- [j3]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:
Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55(2): 42:1-42:96 (2023) - 2022
- [i8]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:
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. CoRR abs/2212.13631 (2022) - 2021
- [c8]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. e-Energy 2021: 199-210 - [c7]Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. ICLR 2021 - [c6]Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. ICLR 2021 - [c5]Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter:
Adversarially robust learning for security-constrained optimal power flow. NeurIPS 2021: 28677-28689 - [i7]Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. CoRR abs/2104.12225 (2021) - [i6]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR abs/2105.08881 (2021) - [i5]Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter:
Adversarially Robust Learning for Security-Constrained Optimal Power Flow. CoRR abs/2111.06961 (2021) - 2020
- [j2]Priya L. Donti:
How machine learning can help tackle climate change. XRDS 27(2): 58-61 (2020) - [j1]Priya L. Donti, Yajing Liu, Andreas Schmitt, Andrey Bernstein, Rui Yang, Yingchen Zhang:
Matrix Completion for Low-Observability Voltage Estimation. IEEE Trans. Smart Grid 11(3): 2520-2530 (2020) - [i4]Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. CoRR abs/2011.08105 (2020)
2010 – 2019
- 2019
- [c4]Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter:
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. ICML 2019: 6545-6554 - [i3]Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter:
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. CoRR abs/1905.12149 (2019) - [i2]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:
Tackling Climate Change with Machine Learning. CoRR abs/1906.05433 (2019) - 2017
- [c3]Priya L. Donti, J. Zico Kolter, Brandon Amos:
Task-based End-to-end Model Learning in Stochastic Optimization. NIPS 2017: 5484-5494 - [i1]Priya L. Donti, Brandon Amos, J. Zico Kolter:
Task-based End-to-end Model Learning. CoRR abs/1703.04529 (2017) - 2015
- [c2]Priya Lekha Donti, Jacob Rosenbloom, Alex Gruver, James C. Boerkoel Jr.:
Predicting the Quality of User Experiences to Improve Productivity and Wellness. AAAI 2015: 4154-4155 - 2014
- [c1]Priya L. Donti, James C. Boerkoel Jr.:
Exploring Active and Passive Team-Based Coordination. AAAI Fall Symposia 2014
Coauthor Index
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