Konstantin Klemmer | DeepAI

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∙ 07/17/2023

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

In this white paper, we synthesize key points made during presentations ...

0 Lily Xu, et al. ∙

∙ 01/10/2023

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

These are the proceedings of the 5th workshop on Machine Learning for th...

0 Paula Rodriguez Diaz, et al. ∙

∙ 05/18/2022

GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy

Synthetic data generation is a fundamental task for many data management...

0 Teddy Cunningham, et al. ∙

∙ 11/19/2021

Positional Encoder Graph Neural Networks for Geographic Data

Graph neural networks (GNNs) provide a powerful and scalable solution fo...

0 Konstantin Klemmer, et al. ∙

∙ 11/03/2021

Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search

Shared e-mobility services have been widely tested and piloted in cities...

0 Man Luo, et al. ∙

∙ 09/30/2021

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

From ecology to atmospheric sciences, many academic disciplines deal wit...

3 Konstantin Klemmer, et al. ∙

∙ 01/12/2021

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

These are the proceedings of the 4th workshop on Machine Learning for th...

0 Tejumade Afonja, et al. ∙

∙ 09/17/2020

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

We propose a generalizable framework for the population estimation of de...

0 Konstantin Klemmer, et al. ∙

∙ 06/18/2020

SXL: Spatially explicit learning of geographic processes with auxiliary tasks

From earth system sciences to climate modeling and ecology, many of the ...

0 Konstantin Klemmer, et al. ∙

∙ 05/23/2019

Augmenting correlation structures in spatial data using deep generative models

State-of-the-art deep learning methods have shown a remarkable capacity ...

0 Konstantin Klemmer, et al. ∙

∙ 03/10/2019

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

Electric Vehicle (EV) sharing systems have recently experienced unpreced...

0 Man Luo, et al. ∙

∙ 11/09/2018

Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features

We present a novel approach to estimate the delay observed between the o...

0 Konstantin Klemmer, et al. ∙

∙ 04/16/2018

Community structures, interactions and dynamics in London's bicycle sharing network

Bikesharing schemes are transportation systems that not only provide an ...

0 Fernando Munoz-Mendez, et al. ∙

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