Multiway p-spectral graph cuts on Grassmann manifolds D Pasadakis, CL Alappat, O Schenk, G Wellein Machine learning, 1-39, 2022 | 10 | 2022 |
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 | 9 | 2021 |
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 | 5 | 2018 |
Sparse Quadratic Approximation for Graph Learning D Pasadakis, M Bollhöfer, O Schenk IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 11256 …, 2023 | 1 | 2023 |
Large-scale precision matrix estimation with SQUIC A Eftekhari, L Gaedke-Merzhaeuser, D Pasadakis, M Bollhoefer, ... Available at SSRN 3904001, 2022 | 1 | 2022 |
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 |
GAMLNet: a graph based framework for the detection of money laundering J Schmidt, D Pasadakis, M Sathe, O Schenk | | |
Nonlinear spectral clustering with C++ GraphBLAS D Pasadakis, O Schenk, V Vlacic, AJ Yzelman | | |