Konstantin Klemmer

According to our database, Konstantin Klemmer authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mission Critical - Satellite Data is a Distinct Modality in Machine Learning.

Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner

CoRR, 2024

2023

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm

CoRR, 2023

Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks.

Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia

CoRR, 2023

Reflections from the Workshop on AI-Assisted Decision Making for Conservation.

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

CoRR, 2023

Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges.

Paula Rodriguez Diaz, Tejumade Afonja, Konstantin Klemmer, Aya Salama, Niveditha Kalavakonda, Oluwafemi Azeez, Simone Fobi

CoRR, 2023

Positional Encoder Graph Neural Networks for Geographic Data.

Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Improving neural networks for geospatial applications with geographic context embeddings.

Konstantin Klemmer

PhD thesis, 2022

Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search.

Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen

IEEE Trans. Intell. Transp. Syst., 2022

GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy.

Teddy Cunningham, Konstantin Klemmer, Hongkai Wen, Hakan Ferhatosmanoglu

CoRR, 2022

ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery.

Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss.

Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

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

CoRR, 2021

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

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

CoRR, 2021

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

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

CoRR, 2021

Auxiliary-task learning for geographic data with autoregressive embeddings.

Konstantin Klemmer, Daniel B. Neill

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems.

Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hakan Ferhatosmanoglu, Hongkai Wen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

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

Konstantin Klemmer, Godwin Yeboah, João Porto de Albuquerque, Stephen A. Jarvis

CoRR, 2020

SXL: Spatially explicit learning of geographic processes with auxiliary tasks.

Konstantin Klemmer, Daniel B. Neill

CoRR, 2020

2019

Augmenting correlation structures in spatial data using deep generative models.

Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag

CoRR, 2019

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

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

CoRR, 2019

2018

Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features.

Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis

CoRR, 2018

Community Structures, Interactions and Dynamics in London's Bicycle Sharing Network.

Fernando Munoz-Mendez, Ke Han, Konstantin Klemmer, Stephen A. Jarvis

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017

Moving in time and space - Location intelligence for carsharing decision support.

Christoph Willing, Konstantin Klemmer, Tobias Brandt, Dirk Neumann

Decis. Support Syst., 2017

2016

Explaining Spatio-Temporal Dynamics in Carsharing: A Case Study of Amsterdam.

Konstantin Klemmer, Christoph Willing, Sebastian Wagner, Tobias Brandt

Proceedings of the 22nd Americas Conference on Information Systems, 2016