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Konstantin Klemmer
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2020 – today
- 2024
- [j4]Jiayi Li, Konstantin Klemmer:
Unveiling Patterns of the Earth through Machine Learning and Geospatial Analysis. XRDS 30(3): 32-33 (2024) - [c7]Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia:
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. ICLR 2024 - [i19]Esther Rolf, Konstantin Klemmer, Caleb Robinson, Hannah Kerner:
Mission Critical - Satellite Data is a Distinct Modality in Machine Learning. CoRR abs/2402.01444 (2024) - 2023
- [c6]Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill:
Positional Encoder Graph Neural Networks for Geographic Data. AISTATS 2023: 1379-1389 - [i18]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 abs/2301.04007 (2023) - [i17]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 abs/2307.08774 (2023) - [i16]Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia:
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks. CoRR abs/2310.06743 (2023) - [i15]Konstantin Klemmer, Esther Rolf, Caleb Robinson, Lester Mackey, Marc Rußwurm:
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery. CoRR abs/2311.17179 (2023) - 2022
- [b1]Konstantin Klemmer:
Improving neural networks for geospatial applications with geographic context embeddings. University of Warwick, Coventry, UK, 2022 - [j3]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): 2549-2560 (2022) - [c5]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: 4523-4531 - [c4]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: 12119-12125 - [i14]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 abs/2201.11192 (2022) - [i13]Teddy Cunningham, Konstantin Klemmer, Hongkai Wen, Hakan Ferhatosmanoglu:
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy. CoRR abs/2205.08886 (2022) - 2021
- [c3]Konstantin Klemmer, Daniel B. Neill:
Auxiliary-task learning for geographic data with autoregressive embeddings. SIGSPATIAL/GIS 2021: 141-144 - [i12]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 abs/2101.04347 (2021) - [i11]Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu:
Generative modeling of spatio-temporal weather patterns with extreme event conditioning. CoRR abs/2104.12469 (2021) - [i10]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 abs/2107.11320 (2021) - [i9]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 abs/2109.15044 (2021) - [i8]Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen:
Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search. CoRR abs/2111.02149 (2021) - [i7]Konstantin Klemmer, Nathan Safir, Daniel B. Neill:
Positional Encoder Graph Neural Networks for Geographic Data. CoRR abs/2111.10144 (2021) - 2020
- [j2]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): 21:1-21:21 (2020) - [i6]Konstantin Klemmer, Daniel B. Neill:
SXL: Spatially explicit learning of geographic processes with auxiliary tasks. CoRR abs/2006.10461 (2020) - [i5]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 abs/2009.08410 (2020)
2010 – 2019
- 2019
- [i4]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 abs/1903.04051 (2019) - [i3]Konstantin Klemmer, Adriano S. Koshiyama, Sebastian Flennerhag:
Augmenting correlation structures in spatial data using deep generative models. CoRR abs/1905.09796 (2019) - 2018
- [c2]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: 1015-1023 - [i2]Fernando Munoz-Mendez, Konstantin Klemmer, Ke Han, Stephen A. Jarvis:
Community structures, interactions and dynamics in London's bicycle sharing network. CoRR abs/1804.05584 (2018) - [i1]Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis:
Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features. CoRR abs/1811.03939 (2018) - 2017
- [j1]Christoph Willing, Konstantin Klemmer
, Tobias Brandt, Dirk Neumann
:
Moving in time and space - Location intelligence for carsharing decision support. Decis. Support Syst. 99: 75-85 (2017) - 2016
- [c1]Konstantin Klemmer, Christoph Willing, Sebastian Wagner, Tobias Brandt:
Explaining Spatio-Temporal Dynamics in Carsharing: A Case Study of Amsterdam. AMCIS 2016
Coauthor Index
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last updated on 2024-07-30 20:47 CEST by the dblp team
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