Pawel Przybylowicz

48 papers Journal 48

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
2026	J	`jnl`	On the randomized Euler scheme for stochastic differential equations with integral-form drift. J. Comput. Appl. Math. Pawel Przybylowicz, Michal Sobieraj
2025	J	`jnl`	SPINNs - Deep learning framework for approximation of stochastic differential equations. CoRR Marcin Baranek, Pawel Przybylowicz
2024	J	`jnl`	A Randomized Runge-Kutta Method for time-irregular delay differential equations. CoRR Fabio V. Difonzo, Pawel Przybylowicz, Yue Wu, Xinheng Xie
2024	J	`jnl`	Convergence and stability of randomized implicit two-stage Runge-Kutta schemes. CoRR Tomasz Bochacik, Pawel Przybylowicz
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`	Existence, uniqueness and approximation of solutions to Carathéodory delay differential equations. J. Comput. Appl. Math. Fabio V. Difonzo, Pawel Przybylowicz, Yue Wu
2024	J	`jnl`	On the randomized Euler scheme for SDEs with integral-form drift. CoRR Pawel Przybylowicz, Michal Sobieraj
2024	J	`jnl`	Randomized Milstein algorithm for approximation of solutions of jump-diffusion SDEs. J. Comput. Appl. Math. Pawel Przybylowicz, Verena Schwarz, Michaela Szölgyenyi
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`	Lower error bounds and optimality of approximation for jump-diffusion SDEs with discontinuous drift. CoRR Pawel Przybylowicz, Verena Schwarz, Michaela Szölgyenyi
2023	J	`jnl`	On approximation of solutions of stochastic delay differential equations via randomized Euler scheme. CoRR Pawel Przybylowicz, Yue Wu, Xinheng Xie
2023	J	`jnl`	On the randomized Euler algorithm under inexact information. CoRR Marcin Baranek, Andrzej Kaluza, Pawel M. Morkisz, Pawel Przybylowicz, Michal Sobieraj
2022	J	`jnl`	A higher order approximation method for jump-diffusion SDEs with discontinuous drift coefficient. CoRR Pawel Przybylowicz, Verena Schwarz, Michaela Szölgyenyi
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`	Efficient Approximation of SDEs Driven by Countably Dimensional Wiener Process and Poisson Random Measure. SIAM J. Numer. Anal. Pawel Przybylowicz, Michal Sobieraj, Lukasz T. Stepien
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`	Existence, uniqueness and approximation of solutions to Carathéodory delay differential equations. CoRR Fabio V. Difonzo, Pawel Przybylowicz
2022	J	`jnl`	Foundations of Monte Carlo methods and stochastic simulations - From Monte Carlo Lebesgue integration to weak approximation of SDEs. CoRR Pawel Przybylowicz
2022	J	`jnl`	Monte Carlo integration with adaptive variance reduction: an asymptotic analysis. CoRR Leszek Plaskota, Pawel Przybylowicz, Lukasz T. Stepien
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
2022	J	`jnl`	On the randomized Euler schemes for ODEs under inexact information. Numer. Algorithms Tomasz Bochacik, Pawel Przybylowicz
2022	J	`jnl`	Randomized Milstein algorithm for approximation of solutions of jump-diffusion SDEs. CoRR Pawel Przybylowicz, Verena Schwarz, Michaela Szölgyenyi
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 approximation of SDEs driven by countably dimensional Wiener process and Poisson random measure. CoRR Pawel Przybylowicz, Michal Sobieraj, Lukasz T. Stepien
2021	J	`jnl`	Existence, uniqueness, and approximation of solutions of jump-diffusion SDEs with discontinuous drift. Appl. Math. Comput. Pawel Przybylowicz, Michaela Szölgyenyi
2021	J	`jnl`	On the randomized Euler schemes for ODEs under inexact information. CoRR Tomasz Bochacik, Pawel Przybylowicz
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
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	J	`jnl`	Efficient approximate solution of jump-diffusion SDEs via path-dependent adaptive step-size control. J. Comput. Appl. Math. Pawel Przybylowicz
2019	J	`jnl`	Existence, uniqueness, and approximation of solutions of jump-diffusion SDEs with discontinuous drift. CoRR Pawel Przybylowicz, Michaela Szölgyenyi
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`	On the optimal robust solution of IVPs with noisy information. Numer. Algorithms Boleslaw Z. Kacewicz, Pawel Przybylowicz
2016	J	`jnl`	Optimal global approximation of stochastic differential equations with additive Poisson noise. Numer. Algorithms Pawel Przybylowicz
2015	J	`jnl`	Complexity of the derivative-free solution of systems of IVPs with unknown singularity hypersurface. J. Complex. Boleslaw Z. Kacewicz, Pawel Przybylowicz
2015	J	`jnl`	Minimal asymptotic error for one-point approximation of SDEs with time-irregular coefficients. J. Comput. Appl. Math. Pawel Przybylowicz
2015	J	`jnl`	Optimal global approximation of SDEs with time-irregular coefficients in asymptotic setting. Appl. Math. Comput. Pawel Przybylowicz
2014	J	`jnl`	Optimal adaptive solution of piecewise regular systems of IVPs with unknown switching hypersurface. Appl. Math. Comput. Boleslaw Z. Kacewicz, Pawel Przybylowicz
2014	J	`jnl`	Optimal solution of a class of non-autonomous initial-value problems with unknown singularities. J. Comput. Appl. Math. Boleslaw Z. Kacewicz, Pawel Przybylowicz
2014	J	`jnl`	Optimality of Euler-type algorithms for approximation of stochastic differential equations with discontinuous coefficients. Int. J. Comput. Math. Pawel Przybylowicz
2013	J	`jnl`	Optimal sampling design for approximation of stochastic Itô integrals with application to the nonlinear Lebesgue integration. J. Comput. Appl. Math. Pawel Przybylowicz
2010	J	`jnl`	Adaptive Itô-Taylor algorithm can optimally approximate the Itô integrals of singular functions. J. Comput. Appl. Math. Pawel Przybylowicz
2009	J	`jnl`	Linear information for approximation of the Itô integrals. Numer. Algorithms Pawel Przybylowicz
2008	J	`jnl`	Optimal adaptive solution of initial-value problems with unknown singularities. J. Complex. Boleslaw Z. Kacewicz, Pawel Przybylowicz