Konstantin Klemmer

36 papers A* 5A 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EarthEmbeddingExplorer: A Web Application for Cross-Modal Retrieval of Global Satellite Images. CoRR Yijie Zheng, Weijie Wu, Bingyue Wu, Long Zhao, Guoqing Li, Mikolaj Czerkawski, Konstantin Klemmer
2026	J	`jnl`	Localized, High-resolution Geographic Representations with Slepian Functions. CoRR Arjun Rao, Ruth Crasto, Tessa Ooms, David Rolnick, Konstantin Klemmer, Marc Rußwurm
2025	J	`jnl`	Measuring the Intrinsic Dimension of Earth Representations. CoRR Arjun Rao, Marc Rußwurm, Konstantin Klemmer, Esther Rolf
2025	A*	`conf`	SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. AAAI Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm
2024	A*	`conf`	Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. ICLR Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia
2024	J	`jnl`	Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
2024	A*	`conf`	Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. ICML Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner
2024	J	`jnl`	Unveiling Patterns of the Earth through Machine Learning and Geospatial Analysis. XRDS Jiayi Li, Konstantin Klemmer
2023	J	`jnl`	Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. CoRR Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia
2023	A	`conf`	Positional Encoder Graph Neural Networks for Geographic Data. AISTATS Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill
2023	J	`jnl`	Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges. CoRR Paula Rodriguez Diaz, Tejumade Afonja, Konstantin Klemmer, Aya Salama, Niveditha Kalavakonda, Oluwafemi Azeez, Simone Fobi
2023	J	`jnl`	Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR 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
2023	J	`jnl`	SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. CoRR Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm
2022	J	`jnl`	Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search. IEEE Trans. Intell. Transp. Syst. Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen
2022	J	`jnl`	GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy. CoRR Teddy Cunningham, Konstantin Klemmer, Hongkai Wen, Hakan Ferhatosmanoglu
2022	—	`—`	Improving neural networks for geospatial applications with geographic context embeddings. Konstantin Klemmer
2022	A*	`conf`	ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. AAAI Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
2022	J	`jnl`	ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. CoRR Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
2022	A*	`conf`	SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. AAAI Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
2021	—	`conf`	Auxiliary-task learning for geographic data with autoregressive embeddings. SIGSPATIAL/GIS Konstantin Klemmer, Daniel B. Neill
2021	J	`jnl`	Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search. CoRR Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen
2021	J	`jnl`	Generative modeling of spatio-temporal weather patterns with extreme event conditioning. CoRR Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu
2021	J	`jnl`	Positional Encoder Graph Neural Networks for Geographic Data. CoRR Konstantin Klemmer, Nathan Safir, Daniel B. Neill
2021	J	`jnl`	Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience. CoRR Tejumade Afonja, Konstantin Klemmer, Aya Salama, Paula Rodriguez Diaz, Niveditha Kalavakonda, Oluwafemi Azeez
2021	J	`jnl`	SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. CoRR Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
2021	J	`jnl`	Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery. CoRR Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Xiaoxiang Zhu, Ce Zhang
2020	J	`jnl`	D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hakan Ferhatosmanoglu, Hongkai Wen
2020	J	`jnl`	Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth. CoRR Konstantin Klemmer, Godwin Yeboah, João Porto de Albuquerque, Stephen A. Jarvis
2020	J	`jnl`	SXL: Spatially explicit learning of geographic processes with auxiliary tasks. CoRR Konstantin Klemmer, Daniel B. Neill
2019	J	`jnl`	Augmenting correlation structures in spatial data using deep generative models. CoRR Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag
2019	J	`jnl`	Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems: A Graph Sequence Learning Approach. CoRR Man Luo, Hongkai Wen, Yi Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu
2018	—	`conf`	Community Structures, Interactions and Dynamics in London's Bicycle Sharing Network. UbiComp/ISWC Adjunct Fernando Munoz-Mendez, Ke Han, Konstantin Klemmer, Stephen A. Jarvis
2018	J	`jnl`	Community structures, interactions and dynamics in London's bicycle sharing network. CoRR Fernando Munoz-Mendez, Konstantin Klemmer, Ke Han, Stephen A. Jarvis
2018	J	`jnl`	Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features. CoRR Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis
2017	J	`jnl`	Moving in time and space - Location intelligence for carsharing decision support. Decis. Support Syst. Christoph Willing, Konstantin Klemmer, Tobias Brandt, Dirk Neumann
2016	—	`conf`	Explaining Spatio-Temporal Dynamics in Carsharing: A Case Study of Amsterdam. AMCIS Konstantin Klemmer, Christoph Willing, Sebastian Wagner, Tobias Brandt