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DC3: A learning method for optimization with hard constraints


Apr 25, 2021
Priya L. Donti, David Rolnick, J. Zico Kolter

* International Conference on Learning Representations 2021 
* In ICLR 2021. Code available at https://github.com/locuslab/DC3 

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Enforcing robust control guarantees within neural network policies


Nov 16, 2020
Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter

* Code available online: https://github.com/locuslab/robust-nn-control 

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Tackling Climate Change with Machine Learning


Jun 10, 2019
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. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio


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


May 29, 2019
Po-Wei Wang, Priya L. Donti, Bryan Wilder, Zico Kolter

* Accepted at ICML'19. The code can be found at https://github.com/locuslab/satnet 

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


Apr 03, 2018
Priya L. Donti, Brandon Amos, J. Zico Kolter

* Donti, P., Amos, B., & Kolter, J. Z. (2017). Task-based End-to-end Model Learning in Stochastic Optimization. In Advances in Neural Information Processing Systems (pp. 5484-5494) 
* In NIPS 2017. Code available at https://github.com/locuslab/e2e-model-learning 

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