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ORCIDThorben Funke
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2020 – today
- 2024
[i9]Christian Löwens, Thorben Funke, André Wagner, Alexandru Paul Condurache:
Unsupervised Point Cloud Registration with Self-Distillation. CoRR abs/2409.07558 (2024)- 2023
- [j4]Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla:
Private Graph Extraction via Feature Explanations. Proc. Priv. Enhancing Technol. 2023(2): 59-78 (2023) - [j3]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): 6188 (2023) - [j2]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): 8687-8698 (2023) - [j1]Iyiola E. Olatunji, Thorben Funke, Megha Khosla:
Releasing Graph Neural Networks with Differential Privacy Guarantees. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [c6]Rajjat Dadwal, Thorben Funke, Michael Nüsken, Elena Demidova:
W-trace: robust and effective watermarking for GPS trajectories. SIGSPATIAL/GIS 2022: 77:1-77:4 - [c5]Philip Matesanz, Nicolas Tempelmeier, Michael Nolting, Thorben Funke:
Ego-Vehicle Speed Prediction with Walk-Ahead. ITSC 2022: 2321-2328 - [c4]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: 2450-2456 - [i8]Mandeep Rathee, Thorben Funke, Avishek Anand, Megha Khosla:
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations. CoRR abs/2206.13983 (2022) - [i7]Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla:
Private Graph Extraction via Feature Explanations. CoRR abs/2206.14724 (2022) - [i6]Rajjat Dadwal, Thorben Funke, Michael Nüsken, Elena Demidova:
W-Trace: Robust and Effective Watermarking for GPS Trajectories. CoRR abs/2211.08116 (2022) - 2021
- [c3]Rajjat Dadwal, Thorben Funke, Elena Demidova:
An Adaptive Clustering Approach for Accident Prediction. ITSC 2021: 1405-1411 - [i5]Thorben Funke, Megha Khosla, Avishek Anand:
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. CoRR abs/2105.08621 (2021) - [i4]Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand:
Learnt Sparsification for Interpretable Graph Neural Networks. CoRR abs/2106.12920 (2021) - [i3]Rajjat Dadwal, Thorben Funke, Elena Demidova:
An Adaptive Clustering Approach for Accident Prediction. CoRR abs/2108.12308 (2021) - [i2]Iyiola E. Olatunji, Thorben Funke, Megha Khosla:
Releasing Graph Neural Networks with Differential Privacy Guarantees. CoRR abs/2109.08907 (2021) - 2020
- [c2]Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin:
Low-dimensional statistical manifold embedding of directed graphs. ICLR 2020
2010 – 2019
- 2019
- [i1]Thorben Funke, Tian Guo, Alen Lancic, Nino Antulov-Fantulin:
Statistical embedding for directed graphs. CoRR abs/1905.10227 (2019) - 2018
- [c1]Thorben Funke, Till Becker:
A Tool for an Analysis of the Dynamic Behavior of Logistic Systems with the Instruments of Complex Networks. LDIC 2018: 418-425
Coauthor Index
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last updated on 2024-10-14 23:28 CEST by the dblp team
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