Szymon Knop

According to our database, Szymon Knop authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Target layer regularization for continual learning using Cramer-Wold distance.

Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemyslaw Spurek

Inf. Sci., 2022

Generative models with kernel distance in data space.

Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak

Neurocomputing, 2022

LocoGAN - Locally convolutional GAN.

Lukasz Struski, Szymon Knop, Przemyslaw Spurek, Wiktor Daniec, Jacek Tabor

Comput. Vis. Image Underst., 2022

Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders.

Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Target Layer Regularization for Continual Learning Using Cramer-Wold Generator.

Marcin Mazur, Lukasz Pustelnik, Szymon Knop, Patryk Pagacz, Przemyslaw Spurek

CoRR, 2021

2020

Cramer-Wold Auto-Encoder.

Szymon Knop, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski

J. Mach. Learn. Res., 2020

2019

One-element Batch Training by Moving Window.

Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik

CoRR, 2019

Sliced generative models.

Szymon Knop, Marcin Mazur, Jacek Tabor, Igor T. Podolak, Przemyslaw Spurek

CoRR, 2019

2018

Cramer-Wold AutoEncoder.

Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski

CoRR, 2018