Julian Stier

Orcid: 0000-0001-5710-9240

According to our database1, Julian Stier authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and Graph Embeddings-Based Metrics for Graph Generators.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

2022
deepstruct - linking deep learning and graph theory.
Softw. Impacts, 2022

2021
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics.
ISPRS Int. J. Geo Inf., 2021

Experiments on Properties of Hidden Structures of Sparse Neural Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

DeepGG: A Deep Graph Generator.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Evofficient: Reproducing a Cartesian Genetic Programming Method.
Proceedings of the Genetic Programming - 24th European Conference, 2021

2020
Deep Graph Generators.
CoRR, 2020

2019
Structural Analysis of Sparse Neural Networks.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

2018
Analysing Neural Network Topologies: a Game Theoretic Approach.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018


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