دنبال کردن
Priya L. Donti
Priya L. Donti
Assistant Professor, MIT EECS & LIDS; Co-founder and Chair, Climate Change AI
ایمیل تأیید شده در mit.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Tackling Climate Change with Machine Learning‏
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...‏
ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022‏
1325*2022
Task-based end-to-end model learning in stochastic optimization‏
P Donti, B Amos, JZ Kolter‏
Advances in Neural Information Processing Systems, 5484-5494, 2017‏
4202017
Aligning artificial intelligence with climate change mitigation‏
LH Kaack, PL Donti, E Strubell, G Kamiya, F Creutzig, D Rolnick‏
Nature Climate Change 12 (6), 518-527, 2022‏
3422022
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver‏
PW Wang, PL Donti, B Wilder, Z Kolter‏
International Conference on Machine Learning, 6545-6554, 2019‏
3192019
DC3: A learning method for optimization with hard constraints‏
PL Donti, D Rolnick, JZ Kolter‏
International Conference on Learning Representations, 2021‏
2232021
Matrix Completion for Low-Observability Voltage Estimation‏
PL Donti, Y Liu, AJ Schmitt, A Bernstein, R Yang, Y Zhang‏
IEEE Transactions on Smart Grid 11 (3), 2520 - 2530, 2019‏
962019
Machine Learning for Sustainable Energy Systems‏
PL Donti, JZ Kolter‏
Annual Review of Environment and Resources 46, 719-747, 2021‏
882021
Enforcing robust control guarantees within neural network policies‏
PL Donti, M Roderick, M Fazlyab, JZ Kolter‏
International Conference on Learning Representations, 2021‏
822021
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization‏
B Chen, PL Donti, K Baker, JZ Kolter, M Berges‏
ACM International Conference on Future Energy Systems (ACM e-Energy), 2021‏
642021
Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals‏
LH Kaack, PL Donti, E Strubell, D Rolnick‏
Heinrich Böll Foundation E-Paper, 2020‏
252020
Adversarially robust learning for security-constrained optimal power flow‏
PL Donti, A Agarwal, NV Bedmutha, L Pileggi, JZ Kolter‏
Advances in Neural Information Processing Systems 34, 2021‏
232021
How Much Are We Saving after All? Characterizing the Effects of Commonly Varying Assumptions on Emissions and Damage Estimates in PJM‏
PL Donti, JZ Kolter, IL Azevedo‏
Environmental Science & Technology 53 (16), 9905-9914, 2019‏
212019
Climate Change and AI. Recommendations for Government Action‏
P Clutton-Brock, D Rolnick, PL Donti, L Kaack‏
GPAI, Climate Change AI, Centre for AI & Climate, 2021‏
192021
Digitizing a sustainable future‏
LA Reisch, L Joppa, P Howson, A Gil, P Alevizou, N Michaelidou, ...‏
One Earth 4 (6), 768-771, 2021‏
112021
The Climate and Sustainability Implications of Generative AI‏
N Bashir, P Donti, J Cuff, S Sroka, M Ilic, V Sze, C Delimitrou, E Olivetti‏
MIT, 2024‏
102024
A Call for Universities to Develop Requirements for Community Engagement in AI Research‏
E Black, J Williams, MA Madaio, PL Donti‏
Fair & Responsible AI Workshop @ CHI2020, 2020‏
102020
Position: Application-driven innovation in machine learning‏
D Rolnick, A Aspuru-Guzik, S Beery, B Dilkina, PL Donti, M Ghassemi, ...‏
Forty-first International Conference on Machine Learning, 2024‏
9*2024
Employing adversarial robustness techniques for large-scale stochastic optimal power flow‏
A Agarwal, PL Donti, JZ Kolter, L Pileggi‏
Electric Power Systems Research 212, 108497, 2022‏
72022
Inverse Optimal Power Flow: Assessing the Vulnerability of Power Grid Data‏
PL Donti, IL Azevedo, JZ Kolter‏
AI for Social Good Workshop at NeurIPS 2018, 2018‏
72018
How machine learning can help tackle climate change‏
P Donti‏
XRDS: Crossroads, The ACM Magazine for Students 27 (2), 58-61, 2020‏
42020
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20