Thorben Funke

发表

Statistical manifold embedding for directed graphs

Nino Antulov-Fantulin, Tian Guo, Thorben Funke, 2020, ICLR 2020.

Stochastic Block Models as a Modeling Approach for Dynamic Material Flow Networks in Manufacturing and Logistics

Till Becker, Thorben Funke, T. Becker, 2018 .

Complex networks of material flow in manufacturing and logistics: Modeling, analysis, and prediction using stochastic block models

Till Becker, Thorben Funke, T. Becker, 2020 .

On the geometry and learning low-dimensional embeddings for directed graphs

Nino Antulov-Fantulin, Tian Guo, Thorben Funke, 2020, ICLR 2020.

Forecasting Changes in Material Flow Networks with Stochastic Block Models

Till Becker, Thorben Funke, 2019 .

Stochastic block models: A comparison of variants and inference methods

Till Becker, Thorben Funke, T. Becker, 2019, PloS one.

Machine Learning Methods for Prediction of Changes in Material Flow Networks

Till Becker, Thorben Funke, 2020 .

Auslastungsmessung in LKW-Laderäumen Ein Überblick über vorhandene Technologien und ein Praxistest mit Ultraschallsensorik in der Automobillogistik

Till Becker, Thorben Funke, Hochschule Emden, 2018 .

A Tool for an Analysis of the Dynamic Behavior of Logistic Systems with the Instruments of Complex Networks

Till Becker, Thorben Funke, 2018, LDIC.

Statistical embedding for directed graphs pdf

Nino Antulov-Fantulin, Thorben Funke, Alen Lancic, 2019, ArXiv.

An Adaptive Clustering Approach for Accident Prediction

Elena Demidova, Thorben Funke, Rajjat Dadwal, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks pdf

Megha Khosla, Avishek Anand, Thorben Funke, 2021, ArXiv.

Learnt Sparsification for Interpretable Graph Neural Networks pdf

Megha Khosla, Avishek Anand, Thorben Funke, 2021, ArXiv.

Releasing Graph Neural Networks with Differential Privacy Guarantees pdf

Iyiola E. Olatunji, Megha Khosla, Thorben Funke, 2021, ArXiv.