Safe reinforcement learning with model uncertainty estimates B Lütjens, M Everett, JP How 2019 International Conference on Robotics and Automation (ICRA), 8662-8668, 2019 | 177 | 2019 |
Certified adversarial robustness for deep reinforcement learning B Lütjens, M Everett, JP How Conference on Robot Learning (CoRL), 1328-1337, 2020 | 88 | 2020 |
Certifiable robustness to adversarial state uncertainty in deep reinforcement learning M Everett, B Lütjens, JP How IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4184-4198, 2021 | 59* | 2021 |
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks SR Cachay, E Erickson, AFC Bucker, E Pokropek, W Potosnak, S Bire, ... arXiv preprint arXiv:2104.05089, 2021 | 36* | 2021 |
Digital Twin Earth--Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators P Jiang, N Meinert, H Jordão, C Weisser, S Holgate, A Lavin, B Lütjens, ... 2021 NeurIPS Workshop on Machine Learning for the Physical Sciences (ML4PS), 2021 | 31 | 2021 |
Physically-consistent generative adversarial networks for coastal flood visualization B Lütjens, B Leshchinskiy, C Requena-Mesa, F Chishtie, ... arXiv preprint arXiv:2104.04785, 2021 | 29* | 2021 |
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark A Lacoste, ED Sherwin, H Kerner, H Alemohammad, B Lütjens, J Irvin, ... 2021 NeurIPS Workshop on Tackling Climate Change with Machine Learning (CCML), 2021 | 22 | 2021 |
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery G Reiersen, D Dao, B Lütjens, K Klemmer, K Amara, A Steinegger, ... AAAI-22, 2022 | 18 | 2022 |
GEO-Bench: Toward Foundation Models for Earth Monitoring A Lacoste, N Lehmann, P Rodriguez, ED Sherwin, H Kerner, B Lütjens, ... NeurIPS Datasets and Benchmarks, 2023 | 17 | 2023 |
Spectral PINNs: Fast uncertainty propagation with physics-informed neural networks B Lütjens, CH Crawford, M Veillette, D Newman 2021 NeurIPS Workshop on the Symbiosis of Deep Learning and Differential, 2021 | 17* | 2021 |
Machine learning-based estimation of forest carbon stocks to increase transparency of forest preservation efforts B Lütjens, L Liebenwein, K Kramer 2019 NeurIPS Workshop on Tackling Climate Change with AI (CCAI), 2019 | 16 | 2019 |
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data R Kurinchi-Vendhan, B Lütjens, R Gupta, L Werner, D Newman 2021 NeurIPS Workshop on Tackling Climate Change with Machine Learning (CCML), 2021 | 12 | 2021 |
Multiscale neural operator: Learning fast and grid-independent pde solvers B Lütjens, CH Crawford, CD Watson, C Hill, D Newman arXiv preprint arXiv:2207.11417, 2022 | 11 | 2022 |
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation S Yu, W Hannah, L Peng, J Lin, MA Bhouri, R Gupta, B Lütjens, JC Will, ... Advances in Neural Information Processing Systems 36, 2024 | 8* | 2024 |
How. 2019. Safe reinforcement learning with model uncertainty estimates B Lütjens, M Everett, P Jonathan 2019 International Conference on Robotics and Automation (ICRA). IEEE, 8662-8668, 0 | 5 | |
Ocean emulation with fourier neural operators: Double gyre S Bire, B Lütjens, K Azizzadenesheli, A Anandkumar, CN Hill Authorea Preprints, 2023 | 4 | 2023 |
Teaching computer vision for ecology E Cole, S Stathatos, B Lütjens, T Sharma, J Kay, J Parham, ... arXiv preprint arXiv:2301.02211, 2023 | 4 | 2023 |
Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery G Reiersen, D Dao, B Lütjens, K Klemmer, X Zhu, C Zhang 2021 ICML Workshop on Tackling Climate Change with Machine Learning (CCML), 2021 | 4 | 2021 |
TrueBranch: Metric Learning-based Verification of Forest Conservation Projects S Santamaria*, D Dao*, B Lütjens*, C Zhang Best Proposal Paper at 2020 ICLR CCML, 2020 | 4 | 2020 |
Oceanfourcast: Emulating ocean models with transformers for adjoint-based data assimilation S Bire, B Lütjens, D Newman, C Hill EGU General Assembly Conference Abstracts, EGU-10810, 2023 | 2 | 2023 |