Journal Club

“To explore, to criticize, to learn…”

The papers we are reading and discussing.


[5] Tucker, C., Brandt, M., Hiernaux, P., Kariryaa, A., Rasmussen, K., Small, J., … & Fensholt, R. (2023). Sub-continental-scale carbon stocks of individual trees in African drylands. Nature, 615(7950), 80-86. (Led by Ziming Li)

[4] Lee, J., Brooks, N. R., Tajwar, F., Burke, M., Ermon, S., Lobell, D. B., … & Luby, S. P. (2021). Scalable deep learning to identify brick kilns and aid regulatory capacity. Proceedings of the National Academy of Sciences, 118(17), e2018863118. (Led by Wenbo Yu)

[3] Yeh, C., Meng, C., Wang, S., Driscoll, A., Rozi, E., Liu, P., … & Ermon, S. (2021). Sustainbench: Benchmarks for monitoring the sustainable development goals with machine learning. arXiv preprint arXiv:2111.04724. (Led by Wenbo Yu)

[2] Rumpf, S. B., Gravey, M., Brönnimann, O., Luoto, M., Cianfrani, C., Mariethoz, G., & Guisan, A. (2022). From white to green: Snow cover loss and increased vegetation productivity in the European Alps. Science, 376(6597), 1119-1122. (Led by Ying Tu)

[1] Ratledge, N., Cadamuro, G., de la Cuesta, B., Stigler, M., & Burke, M. (2022). Using machine learning to assess the livelihood impact of electricity access. Nature611(7936), 491-495. (Led by Shengbiao Wu)