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Physics-informed GANs for Coastal Flood Visualization

Oct 16, 2020
Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz-Rodriguez, Océane Boulais, Aaron Piña, Dava Newman, Alexander Lavin, Yarin Gal, Chedy Raïssi

* Under Review 

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TrueBranch: Metric Learning-based Verification of Forest Conservation Projects

Apr 21, 2020
Simona Santamaria, David Dao, Björn Lütjens, Ce Zhang

* *Authors have contributed equally. Published as Spotlight Presentation at ICLR 2020 Workshop on Tackling Climate Change with Machine Learning 

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Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts

Dec 17, 2019
Björn Lütjens, Lucas Liebenwein, Katharina Kramer

* Published at 2019 NeurIPS Workshop on Tackling Climate Change with Machine Learning 

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Certified Adversarial Robustness for Deep Reinforcement Learning

Oct 28, 2019
Björn Lütjens, Michael Everett, Jonathan P. How

* Proceedings of Machine Learning Research (PMLR) Vol. 100, 2019 
* Published at Conference on Robot Learning (CORL) 2019 

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Safe Reinforcement Learning with Model Uncertainty Estimates

Mar 01, 2019
Björn Lütjens, Michael Everett, Jonathan P. How

* ICRA 2019; Presented at IROS 2018 Workshop on Machine Learning in Robot Motion Planning 

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