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ORCIDPawel M. Morkisz
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2020 – today
- 2024
[j11]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: 128906 (2024)- [j10]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: 123462 (2024) - [j9]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): 3 (2024) - 2023
- [i9]Marcin Baranek, Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz, Michal Sobieraj:
On the randomized Euler algorithm under inexact information. CoRR abs/2307.04718 (2023) - [i8]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 abs/2312.08493 (2023) - 2022
- [j8]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: 86793-86812 (2022) - [j7]Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz:
Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme. Numer. Algorithms 91(4): 1829-1854 (2022) - [i7]Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz:
Euler scheme for approximation of solution of nonlinear ODEs under inexact information. CoRR abs/2209.07482 (2022) - 2021
- [j6]Tomasz Bochacik, Maciej Gocwin, Pawel M. Morkisz, Pawel Przybylowicz:
Randomized Runge-Kutta method - Stability and convergence under inexact information. J. Complex. 65: 101554 (2021) - [j5]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: 113112 (2021) - [i6]Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz:
Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme. CoRR abs/2106.03731 (2021) - [i5]Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski:
Efficient GPU implementation of randomized SVD and its applications. CoRR abs/2110.03423 (2021) - [i4]Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski:
Relative Molecule Self-Attention Transformer. CoRR abs/2110.05841 (2021) - 2020
- [j4]Pawel M. Morkisz, Leszek Plaskota:
Complexity of approximating Hölder classes from information with varying Gaussian noise. J. Complex. 60: 101497 (2020) - [i3]Tomasz Bochacik, Maciej Gocwin, Pawel M. Morkisz, Pawel Przybylowicz:
Randomized Runge-Kutta method - stability and convergence under inexact information. CoRR abs/2006.12131 (2020) - [i2]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 abs/2011.08504 (2020)
2010 – 2019
- 2019
- [j3]Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz:
Optimal approximation of stochastic integrals in analytic noise model. Appl. Math. Comput. 356: 74-91 (2019) - [c3]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: 5679-5682 - [i1]Pawel M. Morkisz, Pawel Przybylowicz:
Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information. CoRR abs/1912.06865 (2019) - 2017
- [j2]Pawel M. Morkisz, Pawel Przybylowicz:
Optimal pointwise approximation of SDE's from inexact information. J. Comput. Appl. Math. 324: 85-100 (2017) - 2016
- [j1]Pawel M. Morkisz, Leszek Plaskota:
Approximation of piecewise Hölder functions from inexact information. J. Complex. 32(1): 122-136 (2016) - [c2]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: 411-419 - [c1]Mateusz Marzec, Pawel M. Morkisz, Jakub Wojdyla, Tadeusz Uhl:
Intelligent Predictive Maintenance System. IntelliSys (1) 2016: 794-804
Coauthor Index
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