Thorben Funke

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Manifold Embedding

Top Venues

Publications

Iyiola E. Olatunji, Thorben Funke, Megha Khosla
Releasing Graph Neural Networks with Differential Privacy Guarantees. Trans. Mach. Learn. Res. 2023 (2023)
Thorben Funke, Megha Khosla, Mandeep Rathee, Avishek Anand
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla
Private Graph Extraction via Feature Explanations. Proc. Priv. Enhancing Technol. 2023 (2) (2023)
Anelia Kurteva, Tek Raj Chhetri, Amar Tauqeer, Rainer Hilscher, Anna Fensel, Kevin Nagorny, Ana Correia, Albert Zilverberg, Stefan Schestakov, Thorben Funke, Elena Demidova
The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities. Sensors 23 (13) (2023)
Rajjat Dadwal, Thorben Funke, Michael Nüsken, Elena Demidova
W-Trace: Robust and Effective Watermarking for GPS Trajectories. CoRR (2022)
Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla
Private Graph Extraction via Feature Explanations. CoRR (2022)
Philip Matesanz, Nicolas Tempelmeier, Michael Nolting, Thorben Funke
Ego-Vehicle Speed Prediction with Walk-Ahead. ITSC (2022)
Rajjat Dadwal, Thorben Funke, Michael Nüsken, Elena Demidova
W-trace: robust and effective watermarking for GPS trajectories. SIGSPATIAL/GIS (2022)
Mandeep Rathee, Thorben Funke, Avishek Anand, Megha Khosla
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations. CoRR (2022)
Kelvin Sopnan Wowo, Rajjat Dadwal, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl, Elena Demidova, Thorben Funke
Using Vehicle Data to Enhance Prediction of Accident-Prone Areas. ITSC (2022)
Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand
Learnt Sparsification for Interpretable Graph Neural Networks. CoRR (2021)
Thorben Funke, Megha Khosla, Avishek Anand
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. CoRR (2021)
Rajjat Dadwal, Thorben Funke, Elena Demidova
An Adaptive Clustering Approach for Accident Prediction. CoRR (2021)
Rajjat Dadwal, Thorben Funke, Elena Demidova
An Adaptive Clustering Approach for Accident Prediction. ITSC (2021)
Iyiola E. Olatunji, Thorben Funke, Megha Khosla
Releasing Graph Neural Networks with Differential Privacy Guarantees. CoRR (2021)
Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
Low-dimensional statistical manifold embedding of directed graphs. ICLR (2020)
Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin
Statistical embedding for directed graphs. CoRR (2019)
Thorben Funke, Till Becker
A Tool for an Analysis of the Dynamic Behavior of Logistic Systems with the Instruments of Complex Networks. LDIC (2018)