E-LIB Suche - Ergebnisse für: Stier, Julian

1

Efficient NAS with FaDE on Hierarchical Spaces:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,

Neumeyer, Simon ; Stier, Julian ; Granitzer, Michael - p. 158-170 , 2024

Link: https://doi.org/10.1007/..

2

GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and G..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Touat, Ousmane ; Stier, Julian ; Portier, Pierre-Edouard. - p. 430-444 , 2024

Link: https://doi.org/10.1007/..

3

Experiments on Properties of Hidden Structures of Sparse Ne..:

, In: Machine Learning, Optimization, and Data Science; Lecture Notes in Computer Science,

Stier, Julian ; Darji, Harshil ; Granitzer, Michael - p. 380-394 , 2022

Link: https://doi.org/10.1007/..

4

deepstruct – linking deep learning and graph theory:

Stier, Julian ; Granitzer, Michael
Software Impacts. 11 (2022) - p. 100193 , 2022

Link: https://doi.org/10.1016/..

5

DeepGG: A Deep Graph Generator:

, In: Advances in Intelligent Data Analysis XIX; Lecture Notes in Computer Science,

Stier, Julian ; Granitzer, Michael - p. 313-324 , 2021

Link: https://doi.org/10.1007/..

6

Correlation Analysis between the Robustness of Sparse Neura..:

Amor, Mehdi Ben ; Stier, Julian ; Granitzer, Michael
Procedia Computer Science. 192 (2021) - p. 4073-4082 , 2021

Link: https://doi.org/10.1016/..

7

Evofficient: Reproducing a Cartesian Genetic Programming Me..:

, In: Lecture Notes in Computer Science; Genetic Programming,

Wendlinger, Lorenz ; Stier, Julian ; Granitzer, Michael - p. 162-178 , 2021

Link: https://doi.org/10.1007/..

8

Spatio-Temporal Machine Learning Analysis of Social Media D..:

Havas, Clemens ; Wendlinger, Lorenz ; Stier, Julian...
ISPRS International Journal of Geo-Information. 10 (2021) 8 - p. 498 , 2021

Link: https://doi.org/10.3390/..

9

Structural Analysis of Sparse Neural Networks:

Stier, Julian ; Granitzer, Michael
Procedia Computer Science. 159 (2019) - p. 107-116 , 2019

Link: https://doi.org/10.1016/..

10

Analysing Neural Network Topologies: a Game Theoretic Appro..:

Stier, Julian ; Gianini, Gabriele ; Granitzer, Michael.
Procedia Computer Science. 126 (2018) - p. 234-243 , 2018

Link: https://doi.org/10.1016/..

11

GRAN is superior to GraphRNN: node orderings, kernel- and g..:

Touat, Ousmane ; Stier, Julian ; Portier, Pierre-Edouard.
http://arxiv.org/abs/2307.06709. , 2023

Link: http://arxiv.org/abs/230..

12

deepstruct -- linking deep learning and graph theory:

Stier, Julian ; Granitzer, Michael
http://arxiv.org/abs/2111.06679. , 2021

Link: http://arxiv.org/abs/211..

13

Experiments on Properties of Hidden Structures of Sparse Ne..:

Stier, Julian ; Darji, Harshil ; Granitzer, Michael
http://arxiv.org/abs/2107.12917. , 2021

Link: http://arxiv.org/abs/210..

14

DeepGG: a Deep Graph Generator:

Stier, Julian ; Granitzer, Michael
http://arxiv.org/abs/2006.04159. , 2020

Link: http://arxiv.org/abs/200..

15

Analysing Neural Network Topologies: a Game Theoretic Appro..:

Stier, Julian ; Gianini, Gabriele ; Granitzer, Michael.
http://arxiv.org/abs/1904.08166. , 2019

Link: http://arxiv.org/abs/190..