Pawel M. Morkisz

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Nonlinear Regression

Top Venues

J. Comput. Appl. Math.

Appl. Math. Comput.

Publications

Andrzej Kaluza, Pawel M. Morkisz, Bartlomiej Mulewicz, Pawel Przybylowicz, Martyna Wiacek
Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs. Appl. Math. Comput. 480 (2024)
Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. 248 (2024)
Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
Relative molecule self-attention transformer. J. Cheminformatics 16 (1) (2024)
Andrzej Kaluza, Pawel M. Morkisz, Bartlomiej Mulewicz, Pawel Przybylowicz, Martyna Wiacek
Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs. CoRR (2023)
Marcin Baranek, Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz, Michal Sobieraj
On the randomized Euler algorithm under inexact information. CoRR (2023)
Natalia Czyzewska, Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Maciej Pietrzyk, Pawel Przybylowicz, Lukasz Rauch, Danuta Szeliga
On Mathematical Aspects of Evolution of Dislocation Density in Metallic Materials. IEEE Access 10 (2022)
Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz
Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme. Numer. Algorithms 91 (4) (2022)
Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz
Euler scheme for approximation of solution of nonlinear ODEs under inexact information. CoRR (2022)
Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz
Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme. CoRR (2021)
Pawel M. Morkisz, Pawel Przybylowicz
Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information. J. Comput. Appl. Math. 383 (2021)
Tomasz Bochacik, Maciej Gocwin, Pawel M. Morkisz, Pawel Przybylowicz
Randomized Runge-Kutta method - Stability and convergence under inexact information. J. Complex. 65 (2021)
Natalia Czyzewska, Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Maciej Pietrzyk, Pawel Przybylowicz, Lukasz Rauch, Danuta Szeliga
On mathematical aspects of evolution of dislocation density in metallic materials. CoRR (2020)
Tomasz Bochacik, Maciej Gocwin, Pawel M. Morkisz, Pawel Przybylowicz
Randomized Runge-Kutta method - stability and convergence under inexact information. CoRR (2020)
Pawel M. Morkisz, Leszek Plaskota
Complexity of approximating Hölder classes from information with varying Gaussian noise. J. Complex. 60 (2020)
Xinyuan Huang, Geoffrey C. Fox, Sergey Serebryakov, Ankur Mohan, Pawel M. Morkisz, Debojyoti Dutta
Benchmarking Deep Learning for Time Series: Challenges and Directions. IEEE BigData (2019)
Pawel M. Morkisz, Pawel Przybylowicz
Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information. CoRR (2019)
Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz
Optimal approximation of stochastic integrals in analytic noise model. Appl. Math. Comput. 356 (2019)
Pawel M. Morkisz, Pawel Przybylowicz
Optimal pointwise approximation of SDE's from inexact information. J. Comput. Appl. Math. 324 (2017)
Mateusz Marzec, Pawel M. Morkisz, Jakub Wojdyla, Tadeusz Uhl
Intelligent Predictive Maintenance System. IntelliSys (1) (2016)
Pawel M. Morkisz, Leszek Plaskota
Approximation of piecewise Hölder functions from inexact information. J. Complex. 32 (1) (2016)
Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Wojciech Pietrucha, Lukasz Sztangret
On Aggregation of Stages in Multi-criteria Optimization of Chain Structured Processes. ICAISC (1) (2016)