Konstantin Klemmer
Konstantin Klemmer
PhD Student, University of Warwick & New York University
Verified email at - Homepage
Cited by
Cited by
Moving in time and space–Location intelligence for carsharing decision support
C Willing, K Klemmer, T Brandt, D Neumann
Decision Support Systems 99, 75-85, 2017
Towards algorithm auditing: a survey on managing legal, ethical and technological risks of AI, ML and associated algorithms
A Koshiyama, E Kazim, P Treleaven, P Rai, L Szpruch, G Pavey, ...
Community structures, interactions and dynamics in London's bicycle sharing network
F Munoz-Mendez, K Klemmer, K Han, S Jarvis
7th International Workshop on Pervasive Urban Applications, UbiComp 2018, 2018
Augmenting correlation structures in spatial data using deep generative models
K Klemmer, A Koshiyama, S Flennerhag
arXiv preprint arXiv:1905.09796, 2019
D3p: Data-driven demand prediction for fast expanding electric vehicle sharing systems
M Luo, B Du, K Klemmer, H Zhu, H Ferhatosmanoglu, H Wen
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020
Demand Prediction for Electric Vehicle Sharing
M Luo, H Wen, Y Luo, B Du, K Klemmer, H Zhu
arXiv preprint arXiv:1903.04051, 2019
Auxiliary-task learning for geographic data with autoregressive embeddings
K Klemmer, DB Neill
SIGSPATIAL 2021, 2020
Explaining Spatio-Temporal Dynamics in Carsharing: A Case Study of Amsterdam
K Klemmer, C Willing, S Wagner, T Brandt
AMCIS 2016, 2016
Isolating the effect of cycling on local business environments in London
K Klemmer, T Brandt, S Jarvis
Plos one 13 (12), e0209090, 2018
Generative modeling of spatio-temporal weather patterns with extreme event conditioning
K Klemmer, S Saha, M Kahl, T Xu, XX Zhu
ICLR 2021 Workshop AIMOCC, 2021
Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth
K Klemmer, G Yeboah, J Porto de Albuquerque, SA Jarvis
ICLR 2020 Workshop ML-IRL, 2020
Understanding spatial patterns in rape reporting delays
K Klemmer, DB Neill, SA Jarvis
Royal Society open science 8 (2), 201795, 2021
Positional Encoder Graph Neural Networks for Geographic Data
K Klemmer, N Safir, DB Neill
arXiv preprint arXiv:2111.10144, 2021
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
K Klemmer, T Xu, B Acciaio, DB Neill
AAAI 2022, 2021
Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery
G Reiersen, D Dao, B Lütjens, K Klemmer, X Zhu, C Zhang
ICML 2021 Workshop Tackling Climate Change with Machine Learning, 2021
Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience
T Afonja, K Klemmer, A Salama, PR Diaz, N Kalavakonda, O Azeez
arXiv preprint arXiv:2101.04347, 2020
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy
T Cunningham, K Klemmer, H Wen, H Ferhatosmanoglu
arXiv preprint arXiv:2205.08886, 2022
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
G Reiersen, D Dao, B Lütjens, K Klemmer, K Amara, A Steinegger, ...
AAAI 2022, 2022
Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search
M Luo, B Du, K Klemmer, H Zhu, H Wen
IEEE Transactions on Intelligent Transportation Systems 23 (3), 2549-2560, 2021
Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features
K Klemmer, DB Neill, SA Jarvis
NeurIPS 2018 Workshop on Modeling and Decision-Making in the Spatiotemporal …, 2018
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