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Dimosthenis Pasadakis
Dimosthenis Pasadakis
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Zitiert von
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Multiway p-spectral graph cuts on Grassmann manifolds
D Pasadakis, CL Alappat, O Schenk, G Wellein
Machine learning, 1-39, 2022
102022
Block-enhanced precision matrix estimation for large-scale datasets
A Eftekhari, D Pasadakis, M Bollhöfer, S Scheidegger, O Schenk
Journal of computational science 53, 101389, 2021
102021
Balanced graph partition refinement using the graph p-Laplacian
T Simpson, D Pasadakis, D Kourounis, K Fujita, T Yamaguchi, T Ichimura, ...
Proceedings of the platform for advanced scientific computing conference, 1-11, 2018
52018
Sparse Quadratic Approximation for Graph Learning
D Pasadakis, M Bollhöfer, O Schenk
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
12023
Large-scale precision matrix estimation with SQUIC
A Eftekhari, L Gaedke-Merzhaeuser, D Pasadakis, M Bollhoefer, ...
Available at SSRN 3904001, 2022
12022
Algorithm XXX: Sparse Precision Matrix Estimation With SQUIC
A Eftekhari, L Gaedke-Merzhäuser, D Pasadakis, M Bollhöfer, ...
ACM Transactions on Mathematical Software, 2024
2024
A Novel Chemometric Approach for Oil & Source Rock Clustering
VI Makri, D Pasadakis, N Pasadakis
IMOG 2023 2023 (1), 1-2, 2023
2023
Learning and clustering graphs from high dimensional data
D Pasadakis
2023
The Clustering of Source Rocks: A Spectral Approach
VI Makri, D Pasadakis
international conference on Mediterranean Geosciences Union, 321-325, 2022
2022
K-way p-spectral clustering on Grassmann manifolds.
D Pasadakis, CL Alappat, O Schenk, G Wellein
CoRR, 2020
2020
Nonlinear spectral clustering with C++ GraphBLAS
D Pasadakis, O Schenk, V Vlacic, AJ Yzelman
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