Optimum size of feed forward neural network for Iris data set. - Wojciech Masarczyk (SYSTEM, 2017)

Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. - Wojciech Masarczyk; Przemyslaw Glomb; Bartosz Grabowski; Mateusz Ostaszewski (CoRR, 2019)

Reducing catastrophic forgetting with learning on synthetic data. - Wojciech Masarczyk; Ivona Tautkute (CVPR Workshops, 2020)

Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. - Wojciech Masarczyk; Przemyslaw Glomb; Bartosz Grabowski; Mateusz Ostaszewski (Remote. Sens., 2020)

On Robustness of Generative Representations Against Catastrophic Forgetting. - Wojciech Masarczyk; Kamil Deja; Tomasz Trzcinski (ICONIP (6), 2021)

BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. - Kamil Deja; Pawel Wawrzynski; Daniel Marczak; Wojciech Masarczyk; Tomasz Trzcinski (IJCNN, 2021)

Reinforcement learning for optimization of variational quantum circuit architectures. - Mateusz Ostaszewski; Lea M. Trenkwalder; Wojciech Masarczyk; Eleanor Scerri; Vedran Dunjko (NeurIPS, 2021)

Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. - Kamil Deja; Pawel Wawrzynski; Daniel Marczak; Wojciech Masarczyk; Tomasz Trzcinski (CoRR, 2021)

Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. - Kamil Deja; Pawel Wawrzynski; Wojciech Masarczyk; Daniel Marczak; Tomasz Trzcinski (IJCAI, 2022)

Logarithmic Continual Learning. - Wojciech Masarczyk; Pawel Wawrzynski; Daniel Marczak; Kamil Deja; Tomasz Trzcinski (IEEE Access, 2022)

Reinforcement learning with experience replay and adaptation of action dispersion. - Pawel Wawrzynski; Wojciech Masarczyk; Mateusz Ostaszewski (CoRR, 2022)

Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks. - Bartosz Grabowski; Przemyslaw Glomb; Wojciech Masarczyk; Pawel Plawiak; Özal Yildirim; U. Rajendra Acharya; Ru-San Tan (CoRR, 2022)

The Tunnel Effect: Building Data Representations in Deep Neural Networks. - Wojciech Masarczyk; Mateusz Ostaszewski; Ehsan Imani; Razvan Pascanu; Piotr Milos; Tomasz Trzcinski (NeurIPS, 2023)

On consequences of finetuning on data with highly discriminative features. - Wojciech Masarczyk; Tomasz Trzcinski; Mateusz Ostaszewski (CoRR, 2023)

Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization. - Wojciech Masarczyk; Mateusz Ostaszewski; Tin Sum Cheng; Tomasz Trzcinski; Aurélien Lucchi; Razvan Pascanu (CoRR, 2025)