Pawel M. Morkisz

According to our database, Pawel M. Morkisz authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Relative molecule self-attention transformer.

Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski

J. Cheminformatics, December, 2024

Efficient GPU implementation of randomized SVD and its applications.

Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski

Expert Syst. Appl., 2024

Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs.

Andrzej Kaluza, Pawel M. Morkisz, Bartlomiej Mulewicz, Pawel Przybylowicz, Martyna Wiacek

Appl. Math. Comput., 2024

2023

On the randomized Euler algorithm under inexact information.

Marcin Baranek, Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz, Michal Sobieraj

CoRR, 2023

2022

Approximation of solutions of DDEs under nonstandard assumptions via Euler scheme.

Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz

Numer. Algorithms, 2022

Euler scheme for approximation of solution of nonlinear ODEs under inexact information.

Natalia Czyzewska, Pawel M. Morkisz, Pawel Przybylowicz

CoRR, 2022

On Mathematical Aspects of Evolution of Dislocation Density in Metallic Materials.

Natalia Czyzewska, Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Maciej Pietrzyk, Pawel Przybylowicz, Lukasz Rauch, Danuta Szeliga

IEEE Access, 2022

2021

Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information.

Pawel M. Morkisz, Pawel Przybylowicz

J. Comput. Appl. Math., 2021

Randomized Runge-Kutta method - Stability and convergence under inexact information.

Tomasz Bochacik, Maciej Gocwin, Pawel M. Morkisz, Pawel Przybylowicz

J. Complex., 2021

2020

Complexity of approximating Hölder classes from information with varying Gaussian noise.

Pawel M. Morkisz, Leszek Plaskota

J. Complex., 2020

2019

Optimal approximation of stochastic integrals in analytic noise model.

Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz

Appl. Math. Comput., 2019

Benchmarking Deep Learning for Time Series: Challenges and Directions.

Xinyuan Huang, Geoffrey C. Fox, Sergey Serebryakov, Ankur Mohan, Pawel M. Morkisz, Debojyoti Dutta

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Optimal pointwise approximation of SDE's from inexact information.

Pawel M. Morkisz, Pawel Przybylowicz

J. Comput. Appl. Math., 2017

2016

Approximation of piecewise Hölder functions from inexact information.

Pawel M. Morkisz, Leszek Plaskota

J. Complex., 2016

Intelligent Predictive Maintenance System.

Mateusz Marzec, Pawel M. Morkisz, Jakub Wojdyla, Tadeusz Uhl

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

On Aggregation of Stages in Multi-criteria Optimization of Chain Structured Processes.

Jan Kusiak, Pawel M. Morkisz, Piotr Oprocha, Wojciech Pietrucha, Lukasz Sztangret

Proceedings of the Artificial Intelligence and Soft Computing, 2016