Dimosthenis Pasadakis
http://usi.to/vh8
Publications
Journal Article (5)
- Pasadakis D., Bollhoefer M., Schenk O. (forthcoming) Sparse Quadratic Approximation for Graph Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence:1-20
- Eftekhari A., Gaedke-Merzhäuser L., Pasadakis D., Bollhoefer M., Scheidegger S., Schenk O. (2022) Large-Scale Precision Matrix Estimation With SQUIC, Social Science Research Network:1573-1375
- Pasadakis D., Bollhoefer M., Schenk O. (2022) Sparse Quadratic Approximation for Graph Learning, Technology Research:1-12
- Eftekhari A., Pasadakis D., Scheidegger S., Bollhoefer M., Schenk O. (2021) Block-Enhanced Precision Matrix Estimation for Large-Scale Datasets, Journal of Computational Science, 53:1-39
- Pasadakis D., Alappat C. L., Schenk O., Wellein G. (2021) Multiway p-spectral graph cuts on Grassmann manifolds, Machine Learning:1-42
Article in conference proceedings (1)
- Simpson T., Pasadakis D., Kourounis D., Fujita K., Yamaguchi T. ., Ichimura T. ., Schenk O. (2018) Balanced Graph Partition Refinement using the Graph p-Laplacian. Proceedings of the ACM Platform for Advanced Scientific Computing Conference. ACM. PASC’18. Platform for Advanced Scientific Computing Conference (PASC). Basel. July 02 - 04, 2018
