Konstantin Klemmer

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Mission Critical

Geographic Data

Spatio Temporal Patterns

Top Venues

UbiComp/ISWC Adjunct

Decis. Support Syst.

Publications

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR (2024)
Jiayi Li, Konstantin Klemmer
Unveiling Patterns of the Earth through Machine Learning and Geospatial Analysis. XRDS 30 (3) (2024)
Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. ICLR (2024)
Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill
Positional Encoder Graph Neural Networks for Geographic Data. AISTATS (2023)
Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. CoRR (2023)
Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. CoRR (2023)
Paula Rodriguez Diaz, Tejumade Afonja, Konstantin Klemmer, Aya Salama, Niveditha Kalavakonda, Oluwafemi Azeez, Simone Fobi
Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges. CoRR (2023)
Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR (2023)
Teddy Cunningham, Konstantin Klemmer, Hongkai Wen, Hakan Ferhatosmanoglu
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy. CoRR (2022)
Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. AAAI (2022)
Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen
Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. AAAI (2022)
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. CoRR (2022)
Tejumade Afonja, Konstantin Klemmer, Aya Salama, Paula Rodriguez Diaz, Niveditha Kalavakonda, Oluwafemi Azeez
Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience. CoRR (2021)
Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu
Generative modeling of spatio-temporal weather patterns with extreme event conditioning. CoRR (2021)
Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen
Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search. CoRR (2021)
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Xiaoxiang Zhu, Ce Zhang
Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery. CoRR (2021)
Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. CoRR (2021)
Konstantin Klemmer, Nathan Safir, Daniel B. Neill
Positional Encoder Graph Neural Networks for Geographic Data. CoRR (2021)
Konstantin Klemmer, Daniel B. Neill
Auxiliary-task learning for geographic data with autoregressive embeddings. SIGSPATIAL/GIS (2021)
Konstantin Klemmer, Godwin Yeboah, João Porto de Albuquerque, Stephen A. Jarvis
Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth. CoRR (2020)
Konstantin Klemmer, Daniel B. Neill
SXL: Spatially explicit learning of geographic processes with auxiliary tasks. CoRR (2020)
Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hakan Ferhatosmanoglu, Hongkai Wen
D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (1) (2020)
Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag
Augmenting correlation structures in spatial data using deep generative models. CoRR (2019)
Man Luo, Hongkai Wen, Yi Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu
Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems: A Graph Sequence Learning Approach. CoRR (2019)
Fernando Munoz-Mendez, Konstantin Klemmer, Ke Han, Stephen A. Jarvis
Community structures, interactions and dynamics in London's bicycle sharing network. CoRR (2018)
Fernando Munoz-Mendez, Ke Han, Konstantin Klemmer, Stephen A. Jarvis
Community Structures, Interactions and Dynamics in London's Bicycle Sharing Network. UbiComp/ISWC Adjunct (2018)
Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis
Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features. CoRR (2018)
Christoph Willing, Konstantin Klemmer, Tobias Brandt, Dirk Neumann
Moving in time and space - Location intelligence for carsharing decision support. Decis. Support Syst. 99 (2017)
Konstantin Klemmer, Christoph Willing, Sebastian Wagner, Tobias Brandt
Explaining Spatio-Temporal Dynamics in Carsharing: A Case Study of Amsterdam. AMCIS (2016)