| 2025 | AAAI | SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. | Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Ruwurm |
| 2024 | ICLR | Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. | Marc Ruwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia |
| 2024 | ICML | Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. | Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner |
| 2023 | AISTATS | Positional Encoder Graph Neural Networks for Geographic Data. | Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill |
| 2022 | AAAI | SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. | Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill |
| 2022 | AAAI | ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. | Gyri Reiersen, David Dao, Bjrn Ltjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu |