Simpson T, Pasadakis D, Kourounis D, Fujita K, Yamaguchi T, Ichimura T, Schenk O (2018) Balanced graph partition refinement using the graph p-laplacian. In: Proceedings of the Platform for Advanced Scientific Computing Conference, Association for Computing Machinery, New York, NY, USA, PASC ’18
A. Eftekhari, D. Pasadakis, M. Bollhöfer, S. Scheidegger, and O. Schenk, Block-enhanced precision matrix estimation for large-scale datasets, Journal of Computational Science, Volume 53, 2021, 101389, ISSN 1877-7503
A. Eftekhari, L. Gaedke-Merzhäuser, D. Pasadakis, M. Bollhöfer, S. Scheidegger, and O. Schenk, "Large-Scale Precision Matrix Estimation With SQUIC" (August 12, 2021).
D. Pasadakis, C.L. Alappat, O. Schenk and G. Wellein, "Multiway p-spectral graph cuts on Grassmann manifolds," in Machine Learning 111, 791–829 (2022).
D. Pasadakis, M. Bollhöfer and O. Schenk, "Sparse Quadratic Approximation for Graph Learning," in IEEE Transactions on Pattern Analysis and Machine Intelligence.
Seminar talk at ARTORG Center for Biomedical Engineering, University of Bern, Bern, Switzerland
Course talk at Ph.D course Academic Teaching, Lugano, Switzerland
Conference talk at SIAM Conference on Parallel Processing for Scientific Computing, Waseda University, Tokyo, Japan
Conference talk at Platform for Advanced Scientific Computing (PASC) Conference, Congress Center, Basel, Switzerland
Conference talk at International Conference on Continuous Optimization (ICCOPT), Technical University (TU), Berlin, Germany
Conference talk at SIAM Conference on Applied Linear Algebra (LA), virtual event, New Orleans, USA
Conference talk at Swiss Numerics Day (SND), EPFL, Lausanne, Switzerland
Conference talk at Platform for Advanced Scientific Computing (PASC) Conference, Congress Center, Basel, Switzerland