Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data. - Neal Jean; Sherrie Wang; Anshul Samar; George Azzari; David B. Lobell; Stefano Ermon (AAAI, 2019)

Meta-Learning for Few-Shot Land Cover Classification. - Marc Rußwurm; Sherrie Wang; Marco Körner 001; David B. Lobell (CVPR Workshops, 2020)

Landsat-Based Reconstruction of Corn and Soybean Yield Histories in the United States Since 1999. - David B. Lobell; Walter T. Dado; Jillian M. Deines; Stefania Di Tommaso; Sherrie Wang (IGARSS, 2020)

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery. - Sherrie Wang; William Chen; Sang Michael Xie; George Azzari; David B. Lobell (Remote. Sens., 2020)

Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning. - Sherrie Wang; Stefania Di Tommaso; Joey Faulkner; Thomas Friedel; Alexander Kennepohl; Rob Strey; David B. Lobell (Remote. Sens., 2020)

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. - Christopher Yeh; Chenlin Meng; Sherrie Wang; Anne Driscoll; Erik Rozi; Patrick Liu; Jihyeon Janel Lee; Marshall Burke; David B. Lobell; Stefano Ermon (NeurIPS Datasets and Benchmarks, 2021)

Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions. - Dan M. Kluger; Sherrie Wang; David B. Lobell (CoRR, 2021)

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops. - Stefania Di Tommaso; Sherrie Wang; David B. Lobell (CoRR, 2021)

Humans are Poor Few-Shot Classifiers for Sentinel-2 Land Cover. - Marc Rußwurm; Sherrie Wang; Devis Tuia (IGARSS, 2022)

Mapping Sugarcane in Central India with Smartphone Crowdsourcing. - Ju Young Lee; Sherrie Wang; Anjuli Jain Figueroa; Rob Strey; David B. Lobell; Rosamond L. Naylor; Steven M. Gorelick (Remote. Sens., 2022)

Unlocking Large-Scale Crop Field Delineation in Smallholder Farming Systems with Transfer Learning and Weak Supervision. - Sherrie Wang; François Waldner; David B. Lobell (Remote. Sens., 2022)

Annual Field-Scale Maps of Tall and Short Crops at the Global Scale Using GEDI and Sentinel-2. - Stefania Di Tommaso; Sherrie Wang; Vivek Vajipey; Noel Gorelick; Rob Strey; David B. Lobell (Remote. Sens., 2023)

Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types. - Jordi Laguarta Soler; Thomas Friedel; Sherrie Wang (AAAI, 2024)

Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data. - Chenhui Zhang; Sherrie Wang (CVPR Workshops, 2024)

Taking it further: Leveraging pseudo-labels for field delineation across label-scarce smallholder regions. - Philippe Rufin; Sherrie Wang; Sá Nogueira Lisboa; Jan Hemmerling; Mirela G. Tulbure; Patrick Meyfroidt (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Multi-modal graph neural networks for localized off-grid weather forecasting. - Qidong Yang; Jonathan Giezendanner; Daniel Salles Civitarese; Johannes Jakubik; Eric Schmitt; Anirban Chandra; Jeremy Vila; Detlef Hohl; Christopher Hill; Campbell D. Watson; Sherrie Wang (CoRR, 2024)

Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling. - Dan M. Kluger; Kerri Lu; Tijana Zrnic; Sherrie Wang; Stephen Bates (CoRR, 2025)