Publications

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, 2025. International Conference on Machine Learning (ICML). arXiv code

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries. Gabriel Tseng, Ruben Cartuyvels, Ivan Zvonkov, Mirali Purohit, David Rolnick, Hannah Kerner, 2023. Neural Information Processing Systems (NeurIPS), Workshop on Tackling climate change with machine learning. Spotlight arXiv code workshop

Semi-Supervised Object Detection for Agriculture. Gabriel Tseng, Krisztina Sinkovics, Tom Watsham, David Rolnick, Thomas C Walters, 2023. AAAI Conference on Artificial Intelligence, AI for Agriculture and Food Systems (AIAFS) workshop. openreview code

TIML: Task-Informed Meta-Learning for agriculture. Gabriel Tseng, Hannah Kerner, David Rolnick, 2022. AAAI Conference on Artificial Intelligence, AI for Agriculture and Food Systems (AIAFS) workshop. Long Talk arxiv code

CropHarvest: A global dataset for crop-type classification. Gabriel Tseng, Ivan Zvonkov, Catherine Nakalembe, Hannah Kerner, 2021. Neural Information Processing Systems (NeurIPS) datasets and benchmarks track. openreview code

Learning to predict crop type from heterogeneous sparse labels using meta-learning. Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef, 2021. Computer Vision and Pattern Recognition (CVPR), EarthVision workshop. PDF paper code

Annual and In-Season Mapping of Cropland at Field Scale with Sparse Labels. Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef, 2020. Neural Information Processing Systems (NeurIPS), Workshop on Tackling climate change with machine learning. PDF talk code

Rapid Response Crop Maps in Data Sparse Regions. Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe, Brian Barker, Blake Munshell, Madhava Paliyam, Mehdi Hosseini, 2020. Knowledge Discovery and Data (KDD), Workshop on Humanitarian Mapping. arxiv code

A machine learning pipeline to predict vegetation health. Thomas Lees, Gabriel Tseng, Alex Hernandez-Garcia, Clement Atzberger, Simon Dadson, Steven Reece, 2020. International Conference on Learning Representations (ICLR), Workshop on Tackling climate change with machine learning. Spotlight PDF talk code