Julian Stier

According to our database, Julian Stier authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Structure of Artificial Neural Networks: Empirical Investigations.

Julian Stier

PhD thesis, 2024

Structure of Artificial Neural Networks - Empirical Investigations.

Julian Stier

CoRR, 2024

Efficient NAS with FaDE on Hierarchical Spaces.

Simon Neumeyer, Julian Stier, Michael Granitzer

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023

GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and Graph Embeddings-Based Metrics for Graph Generators.

Ousmane Touat, Julian Stier, Pierre-Edouard Portier, Michael Granitzer

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

2022

deepstruct - linking deep learning and graph theory.

Julian Stier, Michael Granitzer

Softw. Impacts, 2022

2021

Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics.

Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl, Bernd Resch

ISPRS Int. J. Geo Inf., 2021

Experiments on Properties of Hidden Structures of Sparse Neural Networks.

Julian Stier, Harshil Darji, Michael Granitzer

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.

Mehdi Ben Amor, Julian Stier, Michael Granitzer

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

DeepGG: A Deep Graph Generator.

Julian Stier, Michael Granitzer

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Evofficient: Reproducing a Cartesian Genetic Programming Method.

Lorenz Wendlinger, Julian Stier, Michael Granitzer

Proceedings of the Genetic Programming - 24th European Conference, 2021

2020

Deep Graph Generators.

Julian Stier, Michael Granitzer

CoRR, 2020

2019

Structural Analysis of Sparse Neural Networks.

Julian Stier, Michael Granitzer

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.

Julian Stier, Gabriele Gianini, Michael Granitzer, Konstantin Ziegler

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018