Pawel M. Morkisz

28 papers Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the randomized Euler algorithm under inexact information. J. Comput. Appl. Math. Marcin Baranek, Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz, Michal Sobieraj
2025	J	`jnl`	A Framework for Large-Scale Synthetic Graph Dataset Generation. IEEE Trans. Neural Networks Learn. Syst. Sajad Darabi, Piotr Bigaj, Dawid Majchrowski, Artur Kasymov, Pawel M. Morkisz, Alex Fit-Florea
2024	J	`jnl`	Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs. Appl. Math. Comput. Andrzej Kaluza, Pawel M. Morkisz, Bartlomiej Mulewicz, Pawel Przybylowicz, Martyna Wiacek
2024	J	`jnl`	Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
2024	J	`jnl`	Relative molecule self-attention transformer. J. Cheminformatics Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
2023	J	`jnl`	Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs. CoRR Andrzej Kaluza, Pawel M. Morkisz, Bartlomiej Mulewicz, Pawel Przybylowicz, Martyna Wiacek
2023	J	`jnl`	On the randomized Euler algorithm under inexact information. CoRR Marcin Baranek, Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz, Michal Sobieraj
2023	J	`jnl`	TSPP: A Unified Benchmarking Tool for Time-series Forecasting. CoRR Jan Baczek, Dmytro Zhylko, Gilberto Titericz, Sajad Darabi, Jean-Francois Puget, Izzy Putterman, Dawid Majchrowski, Anmol Gupta, Kyle Kranen, Pawel M. Morkisz
2022	J	`jnl`	A Framework for Large Scale Synthetic Graph Dataset Generation. CoRR Sajad Darabi, Piotr Bigaj, Dawid Majchrowski, Pawel M. Morkisz, Alex Fit-Florea
2022	J	`jnl`	Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme. Numer. Algorithms Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz
2022	J	`jnl`	Euler scheme for approximation of solution of nonlinear ODEs under inexact information. CoRR Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz
2022	J	`jnl`	Heterogenous Ensemble of Models for Molecular Property Prediction. CoRR Sajad Darabi, Shayan Fazeli, Jiwei Liu, Alexandre Milesi, Pawel M. Morkisz, Jean-François Puget, Gilberto Titericz
2022	J	`jnl`	On Mathematical Aspects of Evolution of Dislocation Density in Metallic Materials. IEEE Access Natalia Czyzewska, Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Maciej Pietrzyk, Pawel Przybylowicz, Lukasz Rauch, Danuta Szeliga
2021	J	`jnl`	Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme. CoRR Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz
2021	J	`jnl`	Efficient GPU implementation of randomized SVD and its applications. CoRR Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
2021	J	`jnl`	Randomized Runge-Kutta method - Stability and convergence under inexact information. J. Complex. Tomasz Bochacik, Maciej Gocwin, Pawel M. Morkisz, Pawel Przybylowicz
2021	J	`jnl`	Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information. J. Comput. Appl. Math. Pawel M. Morkisz, Pawel Przybylowicz
2021	J	`jnl`	Relative Molecule Self-Attention Transformer. CoRR Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
2020	J	`jnl`	Complexity of approximating Hölder classes from information with varying Gaussian noise. J. Complex. Pawel M. Morkisz, Leszek Plaskota
2020	J	`jnl`	On mathematical aspects of evolution of dislocation density in metallic materials. CoRR Natalia Czyzewska, Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Maciej Pietrzyk, Pawel Przybylowicz, Lukasz Rauch, Danuta Szeliga
2020	J	`jnl`	Randomized Runge-Kutta method - stability and convergence under inexact information. CoRR Tomasz Bochacik, Maciej Gocwin, Pawel M. Morkisz, Pawel Przybylowicz
2019	—	`conf`	Benchmarking Deep Learning for Time Series: Challenges and Directions. IEEE BigData Xinyuan Huang, Geoffrey C. Fox, Sergey Serebryakov, Ankur Mohan, Pawel M. Morkisz, Debojyoti Dutta
2019	J	`jnl`	Optimal approximation of stochastic integrals in analytic noise model. Appl. Math. Comput. Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz
2019	J	`jnl`	Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information. CoRR Pawel M. Morkisz, Pawel Przybylowicz
2017	J	`jnl`	Optimal pointwise approximation of SDE's from inexact information. J. Comput. Appl. Math. Pawel M. Morkisz, Pawel Przybylowicz
2016	J	`jnl`	Approximation of piecewise Hölder functions from inexact information. J. Complex. Pawel M. Morkisz, Leszek Plaskota
2016	—	`conf`	Intelligent Predictive Maintenance System. IntelliSys (1) Mateusz Marzec, Pawel M. Morkisz, Jakub Wojdyla, Tadeusz Uhl
2016	—	`conf`	On Aggregation of Stages in Multi-criteria Optimization of Chain Structured Processes. ICAISC (1) Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Wojciech Pietrucha, Lukasz Sztangret