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ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

S. Yu, W. Hannah, L. Peng, M. Bhouri, R. Gupta, J. Lin, B. Lütjens, J. Will, T. Beucler, B. Harrop, B. Hillman, A. Jenney, S. Ferretti, N. Liu, A. Anandkumar, N. Brenowitz, V. Eyring, P. Gentine, S. Mandt, J. Pathak, C. Vondrick, R. Yu, L. Zanna, R. Abernathey, F. Ahmed, D. Bader, P. Baldi, E. Barnes, G. Behrens, C. Bretherton, J. Busecke, P. Caldwell, W. Chuang, Y. Han, Y. Huang, F. Iglesias-Suarez, S. Jantre, K. Kashinath, M. Khairoutdinov, T. Kurth, N. Lutsko, P. Ma, G. Mooers, J. Neelin, D. Randall, S. Shamekh, A. Subramaniam, M. Taylor, and et al.. CoRR, (2023)

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Saskia Björn

Bolli Björnsson

Jenny Lütjens

Holger Lütjens

Gerdt Lütjens

Other publications of authors with the same name

Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery.G. Reiersen, D. Dao, B. Lütjens, K. Klemmer, X. Zhu, and C. Zhang. CoRR, (2021)TrueBranch: Metric Learning-based Verification of Forest Conservation Projects.S. Santamaria, D. Dao, B. Lütjens, and C. Zhang. CoRR, (2020)Physics-informed GANs for Coastal Flood Visualization.B. Lütjens, B. Leshchinskiy, C. Requena-Mesa, F. Chishtie, N. Rodríguez, O. Boulais, A. Piña, D. Newman, A. Lavin, Y. Gal and 1 other author(s). CoRR, (2020)Certified Adversarial Robustness for Deep Reinforcement Learning.M. Everett, B. Lütjens, and J. How. CoRR, (2020)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, C. Zhang, and X. Zhu. AAAI, page 12119-12125. AAAI Press, (2022)Graph Neural Networks for Improved El Niño Forecasting.S. Cachay, E. Erickson, A. Bucker, E. Pokropek, W. Potosnak, S. Osei, and B. Lütjens. CoRR, (2020)Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark.A. Lacoste, E. Sherwin, H. Kerner, H. Alemohammad, B. Lütjens, J. Irvin, D. Dao, A. Chang, M. Gunturkun, A. Drouin and 2 other author(s). CoRR, (2021)Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers.B. Lütjens, C. Crawford, C. Watson, C. Hill, and D. Newman. CoRR, (2022)Certified Adversarial Robustness for Deep Reinforcement Learning.B. Lütjens, M. Everett, and J. How. CoRL, volume 100 of Proceedings of Machine Learning Research, page 1328-1337. PMLR, (2019)Safe Reinforcement Learning with Model Uncertainty Estimates.B. Lütjens, M. Everett, and J. How. CoRR, (2018)

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Disambiguation of "Lütjens, Björn"

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ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

Please choose a person to relate this publication to

Saskia Björn

Bolli Björnsson

Jenny Lütjens

Holger Lütjens

Gerdt Lütjens

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lütjens, Björn"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

Please choose a person to relate this publication to

Saskia Björn

Bolli Björnsson

Jenny Lütjens

Holger Lütjens

Gerdt Lütjens

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.