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OlmoEarth - Stable Latent Image Modeling for Multimodal Earth Observation
Henry Herzog, Favyen Bastani, Yawen Zhang, Gabriel Tseng, Joseph Redmon, Hadrien Sablon, Ryan Park, Jacob Morrison, Alexandra Buraczynski, Karen Farley, Joshua Hansen, Andrew Howe, Patrick Alan Johnson, Mark Otterlee, Ted Schmitt, Hunter Pitelka, Stephen Daspit, Rachel Ratner, Christopher Wilhelm, Sebastian Wood, Mike Jacobi, Hannah Kerner, Evan Shelhamer, Ali Farhadi, Ranjay Krishna, Patrick Beukema
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Deploying Geospatial Foundation Models in the Real World - Lessons from WorldCereal
Christina Butsko, Kristof Van Tricht, Gabriel Tseng, Giorgia Milli, David Rolnick, Ruben Cartuyvels, Inbal Becker Reshef, Zoltan Szantoi, Hannah Kerner
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Galileo: Learning Global and Local Features in Pretrained Remote Sensing Models
Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R. Green, Evan Shelhamer, Hannah Kerner, David Rolnick
International Conference on Machine Learning (ICML), 2025.
[arXiv][code]
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Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Gabriel Tseng, Ruben Cartuyvels, Ivan Zvonkov, Mirali Purohit, David Rolnick, Hannah Kerner
Neural Information Processing Systems (NeurIPS), Workshop on Tackling climate change with machine learning, 2023.
Spotlight.
[arXiv][code][workshop]
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CropHarvest: A global dataset for crop-type classification
Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner
Neural Information Processing Systems (NeurIPS) datasets and benchmarks track, 2021.
[openreview][code]