Istituto di sistemi informatici (SYS)
Pubblicazioni
Articolo pubblicato in rivista scientifica (11)
Bouvry P., Brorsson M., Canal R., Eftekhari A. , Hoefinger S., Smets D., Koestler H., Kozubek T., Krishnasamy E., Llosa J., Lukas-Rother A., Martorell X., Pleiter D., Proykova A., Sancho M. R., Schenk O. , Silvano C. (in uscita)
Shaping an European Curriculum for Master in HPC , Journal of Parallel and Distributed Computing:1-40
Eftekhari A. , Gaedke-Merzhäuser L. , Pasadakis D. , Bollhöfer M., Scheidegger S., Schenk O. (2024)
Algorithm 1042: Sparse Precision Matrix Estimation With SQUIC , ACM Transactions on Mathematical Software, Volume 50 (Issue 2):1-18
Gaedke-Merzhäuser L. , Krainski . E. ., Janalík R. , Rue . H., Schenk O. (2024)
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling , SIAM Journal on Scientific Computing (SISC), 46 (4):1-22
Harbrecht H., Multerer M. , Schenk O. , Schwab C. (2024)
Multiresolution kernel matrix algebra , Numerische Mathematik:1085-1114
Vecchi E. , Kardoš J. , Lechekhab M. , Waechter A., Horenko I., Schenk O. (2024)
Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning , Journal of Computational Science:1-30
Pasadakis D. , Bollhoefer M., Schenk O. (2023)
Sparse Quadratic Approximation for Graph Learning , IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:11256-11269
Kardoš J. , Kourounis D., Schenk O. (2022)
BELTISTOS: A robust interior point method for large-scale optimal power flow problems , Electric Power Systems Research, 212:1-31
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
Bollhöfer M., Schenk O. , Verbosio F. (2021)
High Performance Block Incomplete LU Factorization , Applied Numerical Mathematics, 162:265-282
Pasadakis D. , Alappat C. L., Schenk O. , Wellein G. (2021)
Multiway p-spectral graph cuts on Grassmann manifolds , Machine Learning:1-42
van Niekerk J., Bakka H., Rue H. ., Schenk O. (2021)
New frontiers in Bayesian modeling using the INLA package in R , Journal of Statistical Software, 100 (2):1-28
Contributo in atti di conferenza (6)
Rim H., Schenk O. , Kardoš J. (in uscita)
Forecasting Renewable Energy at European Markets . 13th DACH+ Conference on Energy Informatics. ACM SIGEnergy Energy Informatics Review. 13th DACH+ Conference on Energy Informatics. Lugano, Switzerland. October 9-11, 2024
Holt T. A. B., Abhyankar S. ., Kuruganti T., Schenk O. , Peles S. (2024)
Data-Driven Unit Commitment Refinement - a Scalable Approach for Complex Modern Power Grids . HICSS 2024. The Hawaii International Conference on System Sciences. University of Hawaii. January 2-6, 2024
Schmidt J. ., Pasadakis D. , Sathe M., Schenk O. (2024)
GAMLNet: a graph based framework for the detection of money laundering . IEEE SDS24. IEEE. IEEE Swiss Conference on Data Science (SDS). The Circle Convention Center, Zurich Airport. May 30 – 31, 2024
Jami J., Kardoš J. , Schenk O. , Koestler H. (2023)
AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study . ISGT 2023. Innovative Smart Grid Technologies Conference. Université Grenoble Alpes, France. October 23rd-26th, 2023
Pasadakis D. , Schenk O. , Vlacic V. ., Yzelman A. J. (2023)
Nonlinear Spectral Clustering with C++ GraphBLAS . IEEE HPEC 2023. IEEE. 27th Annual IEEE High Performance Extreme Computing Conference. Virtual. 25 - 29 September 2023
Holt T. A. B., Kardoš J. , Fazio V., Fazio L., Spazzini F. ., Schenk O. (2021)
High-Performance Data Analytics Techniques for Power Markets Simulation . SEST 2021. International Conference on Smart Energy Systems and Technologies 2021. Vaasa, Finland. September 6-8, 2021
