Julian Stier

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Reinforced Concrete

Structural Analysis

Top Venues

Publications

Simon Neumeyer, Julian Stier, Michael Granitzer
Efficient NAS with FaDE on Hierarchical Spaces. CoRR (2024)
Simon Neumeyer, Julian Stier, Michael Granitzer
Efficient NAS with FaDE on Hierarchical Spaces. IDA (2) (2024)
Ousmane Touat, Julian Stier, Pierre-Edouard Portier, Michael Granitzer
GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and Graph Embeddings-Based Metrics for Graph Generators. LOD (1) (2023)
Ousmane Touat, Julian Stier, Pierre-Edouard Portier, Michael Granitzer
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators. CoRR (2023)
Julian Stier, Michael Granitzer
deepstruct - linking deep learning and graph theory. Softw. Impacts 11 (2022)
Julian Stier, Harshil Darji, Michael Granitzer
Experiments on Properties of Hidden Structures of Sparse Neural Networks. CoRR (2021)
Julian Stier, Harshil Darji, Michael Granitzer
Experiments on Properties of Hidden Structures of Sparse Neural Networks. LOD (2021)
Lorenz Wendlinger, Julian Stier, Michael Granitzer
Evofficient: Reproducing a Cartesian Genetic Programming Method. EuroGP (2021)
Julian Stier, Michael Granitzer
DeepGG: A Deep Graph Generator. IDA (2021)
Julian Stier, Michael Granitzer
deepstruct - linking deep learning and graph theory. CoRR (2021)
Mehdi Ben Amor, Julian Stier, Michael Granitzer
Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors. CoRR (2021)
Mehdi Ben Amor, Julian Stier, Michael Granitzer
Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors. KES (2021)
Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl, Bernd Resch
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics. ISPRS Int. J. Geo Inf. 10 (8) (2021)
Julian Stier, Michael Granitzer
Deep Graph Generators. CoRR (2020)
Julian Stier, Michael Granitzer
Structural Analysis of Sparse Neural Networks. KES (2019)
Julian Stier, Michael Granitzer
Structural Analysis of Sparse Neural Networks. CoRR (2019)
Julian Stier, Gabriele Gianini, Michael Granitzer, Konstantin Ziegler
Analysing Neural Network Topologies: a Game Theoretic Approach. CoRR (2019)
Julian Stier, Gabriele Gianini, Michael Granitzer, Konstantin Ziegler
Analysing Neural Network Topologies: a Game Theoretic Approach. KES (2018)