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Konstantin Klemmer

Research Engineer, LGND AI
Assistant Professor (incoming), UCL
konstantin.klemmer.16 (at) ucl.ac.uk


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Publications

  1. Preprint
    Spatial Representation Learning Beyond Pixels: Unifying Raster Data and Vector Semantics for Human-Centric Geospatial Foundation Models
    Knoblauch, S., Li, H., Mai, G., Klemmer, K., Gao, S., Li, W.
    Preprint, 2026.
    PDF

  2. Preprint
    A Blueprint for Integrated Climate Intelligence
    Rodriguez-Pardo, C., Ascenso, G., Azuero Pedraza, C.G., Bachelery, M.-L., Balzarolo, M., Beery, S., Benson, V., Berti-Equille, L., Bracco, A., Butenschön, M., Camps-Valls, G., Castelletti, A., Chapman, M., Colfescu, I., Epicoco, I., James, C., Klemmer, K., Kotsch, R., Kumar, V., Lessig, C., Mozaffari, A., Mukkavilli, S.K., Ouaknine, A., Paletta, Q., Pérez-Ortiz, M., Rolf, E., Sanford, M., Shayegh, S., Tokarska, K., Tavoni, M.
    Preprint, 2026.
    PDF

  3. Preprint
    OT on the Map: Quantifying Domain Shifts in Geographic Space
    Zhang, H., Betti, L., Klemmer, K., Rolf, E., Alvarez-Melis, D.
    Preprint, 2026.
    PDF

  4. ICLR-W
    EarthEmbeddingExplorer: A Web Application for Cross-Modal Retrieval of Global Satellite Images
    Zheng, Y., Wu, W., Wu, B., Zhao, L., Li, G., Czerkawski, M., Klemmer, K.
    Machine Learning for Remote Sensing (ML4RS) Workshop, ICLR, 2026.
    PDF BibTex

  5. ICML
    Localized, High-resolution Geographic Representations with Slepian Functions
    Rao, A., Crasto, R., Ooms, T., Rolnick, D., Klemmer, K., Rußwurm, M.
    International Conference on Machine Learning (ICML), 2026.
    PDF

  6. ICLR
    Measuring the Intrinsic Dimension of Earth Representations
    Rao, A., Rußwurm, M., Klemmer, K., Rolf, E.
    International Conference on Learning Representations (ICLR), 2026.
    PDF BibTex

  7. Preprint
    Earth Embeddings: Towards AI-centric Representations of our Planet
    Klemmer, K., Rolf, E., Russwurm, M., Camps-Valls, G., Czerkawski, M., Ermon, S., Francis, A., Jacobs, N., Kerner, H., Mackey, L., Mai, G., Mac Aodha, O., Reichstein, M., Robinson, C., Rolnick, D., Shelhamer, E., Sitzmann, V., Tuia, D., Zhu X.
    Preprint, 2025.
    PDF

  8. ICLR-W
    A Joint Space-Time Encoder for Geographic Time-Series Data
    Mikisch, D., Klemmer, K., Teng, M., Rolnick, D.
    Tackling Climate Change with Machine Learning Workshop, ICLR, 2025.
    PDF BibTex

  9. ICLR-W
    Predicting out-of-domain performance under geographic distribution shifts
    Zhang, H., Klemmer, K., Rolf, E., Alvarez-Melis, D.
    Tackling Climate Change with Machine Learning Workshop, ICLR, 2025.
    PDF BibTex

  10. AAAI
    SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
    Klemmer, K., Rolf, E., Robinson, C., Mackey, L., Rußwurm, M.
    AAAI Conference on Artificial Intelligence, 2025.
    PDF Code BibTex Preliminary version at DistShift & TCCML Workshops, NeurIPS'23

  11. RSOS
    Towards Algorithm Auditing: A Survey on Managing Legal, Ethical and Technological Risks of AI, ML and Associated Algorithms
    Koshiyama, A., Kazim, E., Treleaven, P., Rai, P., Szpruch, L., Pavey, G., Ahamat, G., Leutner, F., Goebel, R., Knight, A, Adams, J., Hitrova, C., Barnett, J., Nachev, P., Barber, D., Chamorro-Premuzic, T., Klemmer, K., Gregorovic, M., Khan, S., Lomas, E.
    Royal Society Open Science, 2024.
    PDF

  12. ICML
    Mission Critical - Satellite Data is a Distinct Modality in Machine Learning
    Rolf, E., Klemmer, K., Rolf, E., Robinson, C., Kerner, H.
    International Conference on Machine Learning (ICML), 2024.
    PDF BibTex Spotlight

  13. ICLR
    Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
    Rußwurm, M., Klemmer, K., Rolf, E., Zbinden, R., Tuia, D.
    International Conference on Learning Representations (ICLR), 2024.
    PDF Code BibTex Spotlight (Top 5%)

  14. Nature
    Satellite images reveal untracked human activity on the oceans
    Klemmer, K., Rolf, E.
    Nature, 2024.
    PDF BibTex News & Views

  15. Preprint
    Reflections from the Workshop on AI-Assisted Decision Making for Conservation
    Xu, L., Rolf, E., Beery, S., Bennett, J.R., Berger-Wolf, T., Birch, T., Bondi-Kelly, E., Brashares, J., Chapman, M., Corso, A. and Davies, A., Garg, N., Gaylard, A., Heilmayr, R., Kerner, H., Klemmer, K., Kumar, V., Mackey, L., Monteleoni, C., Moorcroft, P., Perrault, A., Thau, D., Tambe, M.
    Preprint, 2023.
    PDF

  16. AISTATS
    Positional Encoder Graph Neural Networks for Geographic Data
    Klemmer, K., Safir, N., Neill, D.B.
    International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
    PDF Code BibTex Preliminary version at TCCML Workshop, NeurIPS'22

  17. Preprint
    GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy
    Cunningham, T.*, Klemmer, K.*, Wen, H., Ferhatosmanoglu, H. (* equal contribution)
    Preprint, 2022.
    PDF Code BibTex

  18. AAAI
    ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
    Reiersen, G., Dao, D., Lütjens, B., Klemmer, K., Amara, K., Steinegger, A., Zhang, C., Zhu, X.X.
    AAAI Conference on Artificial Intelligence, 2022.
    PDF Code BibTex Preliminary version at TCCML Workshop, ICML'21

  19. AAAI
    SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
    Klemmer, K.*, Xu, T.*, Acciaio, B., Neill, D.B. (* equal contribution)
    AAAI Conference on Artificial Intelligence, 2022.
    PDF Code BibTex

  20. IEEE T-ITS
    Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search
    Luo, M., Du B., Klemmer, K., Zhu, H., Wen, H.
    IEEE Transactions on Intelligent Transportation Systems, 2021.
    PDF BibTex

  21. SIGSPATIAL
    Auxiliary-task learning for geographic data with autoregressive embeddings
    Klemmer, K., Neill, D.B.
    ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2021.
    PDF Code BibTex

  22. ICLR-W
    Generative modeling of spatio-temporal weather patterns with extreme event conditioning
    Klemmer, K., Saha, S., Kahl, M., Xu, T., Zhu, X.X.
    AI Modeling Oceans and Climate Change (AIMOCC) Workshop, ICLR, 2021.
    PDF BibTex

  23. RSOS
    Understanding Spatial Patterns in Rape Reporting Delays
    Klemmer, K., Neill, D.B., Jarvis, S.A.
    Royal Society Open Science, 2021.
    PDF BibTex Preliminary version at Modeling and Decision-making in the Spatiotemporal Domain Workshop, NeurIPS'18

  24. IMWUT
    D3P: Data-Driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems
    Luo, M., Du B., Klemmer, K., Zhu, H., Ferhatosmanoglu, H., Wen, H.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2020.
    PDF BibTex

  25. ICLR-W
    Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth
    Klemmer, K., Yeboah, G., Porto de Albuquerque, J., Jarvis, S.A.
    Machine Learning in Real Life (ML-IRL) Workshop, ICLR, 2020.
    PDF BibTex

  26. Preprint
    Augmenting Correlation Structures in Spatial Data Using Deep Generative Models
    Klemmer, K., Koshiyama, A., Flennerhag S.
    Preprint, 2019.
    PDF Code BibTex

  27. PLOS ONE
    Isolating the effect of cycling on local business environments in London
    Klemmer, K., Brandt, T., and Jarvis, S.A.
    PLOS ONE, 2018.
    PDF BibTex

  28. UbiComp-W
    Community structures, interactions and dynamics in London’s bicycle sharing network
    Munoz-Mendez, F.*, Klemmer, K.*, Han, K., Jarvis, S.A. (* equal contribution)
    Workshop on Pervasive Urban Applications (PURBA), UbiComp, 2018.
    PDF Code BibTex

  29. DSS
    Moving in Time and Space – Location Intelligence for Carsharing Decision Support
    Willing, C., Klemmer, K., Brandt, T., and Neumann, D.
    Decision Support Systems, 2017.
    PDF BibTex

  30. AMCIS
    Explaining Spatio-Temporal Dynamics in Carsharing: A Case Study of Amsterdam
    Klemmer, K., Willing, C., Wagner, S., and Brandt, T.
    Americas' Conference on Information Systems (AMCIS), 2017.
    PDF

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