Jaroslaw Bilski

36 papers Misc 4Journal 7Unranked 25
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerating Neural Network Training with FSGQR: A Scalable and High-Performance Alternative to Adam.
J. Artif. Intell. Soft Comput. Res.
Jaroslaw Bilski, Bartosz Kowalczyk, Ludmila Dymova, Min Xiao
2025 — conf
Multi-point Directional Minimization for Conjugate Gradient Algorithm.
ICAISC (1)
Jaroslaw Bilski, Jacek Smolag
2025 — conf
Neural Network Training Through Matrix Factorization.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk, Martyna Kukulka
2024 — conf
Practical Considerations in Implementing Neural Network Training with Vector Instructions.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk
2023 — conf
A Novel Approach to the GQR Algorithm for Neural Networks Training.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk
2023 J jnl
Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks.
J. Artif. Intell. Soft Comput. Res.
Jaroslaw Bilski, Jacek Smolag, Bartosz Kowalczyk, Konrad Grzanek, Ivan Izonin
2023 — conf
On Speeding up the Levenberg-Marquardt Learning Algorithm.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag
2022 — conf
A Fast Learning Algorithm for the Multi-layer Neural Network.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk
2022 — conf
A New Computational Approach to the Levenberg-Marquardt Learning Algorithm.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag
2022 J jnl
Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm.
J. Artif. Intell. Soft Comput. Res.
Jaroslaw Bilski, Bartosz Kowalczyk, Marek Kisiel-Dorohinicki, Agnieszka Siwocha, Jacek M. Zurada
2021 — conf
A New Variant of the GQR Algorithm for Feedforward Neural Networks Training.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk
2021 J jnl
A Novel Fast Feedforward Neural Networks Training Algorithm.
J. Artif. Intell. Soft Comput. Res.
Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Marjanski, Michal Gandor, Jacek M. Zurada
2021 J jnl
A novel method for speed training acceleration of recurrent neural networks.
Inf. Sci.
Jaroslaw Bilski, Leszek Rutkowski, Jacek Smolag, Dacheng Tao
2021 — conf
Modification of Learning Feedforward Neural Networks with the BP Method.
ICAISC (1)
Jaroslaw Bilski, Jacek Smolag, Patryk Najgebauer
2020 — conf
A New Algorithm with a Line Search for Feedforward Neural Networks Training.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
2020 — conf
Fast Conjugate Gradient Algorithm for Feedforward Neural Networks.
ICAISC (1)
Jaroslaw Bilski, Jacek Smolag
2020 J jnl
Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks.
J. Artif. Intell. Soft Comput. Res.
Jaroslaw Bilski, Bartosz Kowalczyk, Alina Marchlewska, Jacek M. Zurada
2019 — conf
Modifications of the Givens Training Algorithm for Artificial Neural Networks.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Cader
2019 — conf
Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model.
ICAISC (2)
Robert Cierniak, Jaroslaw Bilski, Piotr Pluta, Zbigniew Filutowicz
2018 — conf
The Parallel Modification to the Levenberg-Marquardt Algorithm.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk, Konrad Grzanek
2017 — conf
Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
2017 — conf
Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation.
ICAISC (1)
Jaroslaw Bilski, Bogdan M. Wilamowski
2017 — conf
Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography.
ICAISC (1)
Robert Cierniak, Jaroslaw Bilski, Jacek Smolag, Piotr Pluta, Nimit Shah
2016 — conf
A New Proposition of the Activation Function for Significant Improvement of Neural Networks Performance.
ICAISC (1)
Jaroslaw Bilski, Alexander I. Galushkin
2016 — conf
Application of the Givens Rotations in the Neural Network Learning Algorithm.
ICAISC (1)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
2016 — conf
Parallel Learning of Feedforward Neural Networks Without Error Backpropagation.
ICAISC (1)
Jaroslaw Bilski, Bogdan M. Wilamowski
2015 — conf
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks.
ICAISC (1)
Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada
2015 J jnl
Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks.
IEEE Trans. Parallel Distributed Syst.
Jaroslaw Bilski, Jacek Smolag
2014 — conf
The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks.
ICAISC (1)
Jaroslaw Bilski, Jacek Smolag, Alexander I. Galushkin
2013 — conf
Parallel Approach to Learning of the Recurrent Jordan Neural Network.
ICAISC (1)
Jaroslaw Bilski, Jacek Smolag
2012 — conf
Parallel Realisation of the Recurrent Multi Layer Perceptron Learning.
ICAISC (1)
Jaroslaw Bilski, Jacek Smolag
2010 — conf
Parallel Realisation of the Recurrent Elman Neural Network Learning.
ICAISC (2)
Jaroslaw Bilski, Jacek Smolag
2008 Misc conf
Parallel Realisation of the Recurrent RTRN Neural Network Learning.
ICAISC
Jaroslaw Bilski, Jacek Smolag
2004 Misc conf
Momentum Modification of the RLS Algorithms.
ICAISC
Jaroslaw Bilski
2004 Misc conf
Parallel Realisation of QR Algorithm for Neural Networks Learning.
ICAISC
Jaroslaw Bilski, Slawomir Litwinski, Jacek Smolag
2003 Misc conf
Systolic Architectures for Soft Computing Algorithms.
PPAM
Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada