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Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery

Aug 19, 2021
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Xiaoxiang Zhu, Ce Zhang

* Spotlight talk at the Tackling Climate Change with Machine Learning workshop at the ICML 2021 

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Generative modeling of spatio-temporal weather patterns with extreme event conditioning

Apr 26, 2021
Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu

* ICLR'21 Workshop AI: Modeling Oceans and Climate Change (AIMOCC) 

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Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience

Jan 12, 2021
Tejumade Afonja, Konstantin Klemmer, Aya Salama, Paula Rodriguez Diaz, Niveditha Kalavakonda, Oluwafemi Azeez

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Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth

Sep 17, 2020
Konstantin Klemmer, Godwin Yeboah, João Porto de Albuquerque, Stephen A Jarvis

* ML-IRL workshop at ICLR 2020 

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SXL: Spatially explicit learning of geographic processes with auxiliary tasks

Jun 18, 2020
Konstantin Klemmer, Daniel B. Neill

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Augmenting correlation structures in spatial data using deep generative models

May 23, 2019
Konstantin Klemmer, Adriano Koshiyama, Sebastian Flennerhag

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Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems: A Graph Sequence Learning Approach

Mar 10, 2019
Man Luo, Hongkai Wen, Yi Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu

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