Deep processing of structured data. - Lukasz Maziarka; Marek Smieja; Aleksandra Nowak 001; Jacek Tabor; Lukasz Struski; Przemyslaw Spurek (CoRR, 2018)

Hypernetwork Functional Image Representation. - Sylwester Klocek; Lukasz Maziarka; Maciej Wolczyk; Jacek Tabor; Jakub Nowak; Marek Smieja (ICANN (Workshop), 2019)

Mol-CycleGAN - A Generative Model for Molecular Optimization. - Lukasz Maziarka; Agnieszka Pocha; Jan Kaczmarczyk; Krzysztof Rataj; Michal Warchol (ICANN (Workshop), 2019)

Set Aggregation Network as a Trainable Pooling Layer. - Lukasz Maziarka; Marek Smieja; Aleksandra Nowak 001; Jacek Tabor; Lukasz Struski; Przemyslaw Spurek (ICONIP (2), 2019)

LOSSGRAD: automatic learning rate in gradient descent. - Bartosz Wójcik; Lukasz Maziarka; Jacek Tabor (CoRR, 2019)

Multi-task hypernetworks. - Sylwester Klocek; Lukasz Maziarka; Maciej Wolczyk; Jacek Tabor; Marek Smieja; Jakub Nowak (CoRR, 2019)

Geometric Graph Convolutional Neural Networks. - Przemyslaw Spurek; Tomasz Danel; Jacek Tabor; Marek Smieja; Lukasz Struski; Agnieszka Slowik; Lukasz Maziarka (CoRR, 2019)

Processing of Incomplete Images by (Graph) Convolutional Neural Networks. - Tomasz Danel; Marek Smieja; Lukasz Struski; Przemyslaw Spurek; Lukasz Maziarka (ICONIP (2), 2020)

Spatial Graph Convolutional Networks. - Tomasz Danel; Przemyslaw Spurek; Jacek Tabor; Marek Smieja; Lukasz Struski; Agnieszka Slowik; Lukasz Maziarka (ICONIP (5), 2020)

Non-linear ICA Based on Cramer-Wold Metric. - Przemyslaw Spurek; Aleksandra Nowak 001; Jacek Tabor; Lukasz Maziarka; Stanislaw Jastrzebski (ICONIP (3), 2020)

Molecule Attention Transformer. - Lukasz Maziarka; Tomasz Danel; Slawomir Mucha; Krzysztof Rataj; Jacek Tabor; Stanislaw Jastrzebski (CoRR, 2020)

Flow-based anomaly detection. - Lukasz Maziarka; Marek Smieja; Marcin Sendera; Lukasz Struski; Jacek Tabor; Przemyslaw Spurek (CoRR, 2020)

Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. - Agnieszka Pocha; Tomasz Danel; Lukasz Maziarka (CoRR, 2020)

Mol-CycleGAN: a generative model for molecular optimization. - Lukasz Maziarka; Agnieszka Pocha; Jan Kaczmarczyk; Krzysztof Rataj; Tomasz Danel; Michal Warchol (J. Cheminformatics, 2020)

Multitask Learning Using BERT with Task-Embedded Attention. - Lukasz Maziarka; Tomasz Danel (IJCNN, 2021)

Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. - Agnieszka Pocha; Tomasz Danel; Sabina Podlewska; Jacek Tabor; Lukasz Maziarka (IJCNN, 2021)

Flow-based SVDD for anomaly detection. - Marcin Sendera; Marek Smieja; Lukasz Maziarka; Lukasz Struski; Przemyslaw Spurek; Jacek Tabor (CoRR, 2021)

HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract). - Piotr Gainski; Lukasz Maziarka; Tomasz Danel; Stanislaw Jastrzebski (AAAI, 2022)

PluGeN: Multi-Label Conditional Generation from Pre-trained Models. - Maciej Wolczyk; Magdalena Proszewska; Lukasz Maziarka; Maciej Zieba; Patryk Wielopolski; Rafal Kurczab; Marek Smieja (AAAI, 2022)

On the Relationship Between Disentanglement and Multi-task Learning. - Lukasz Maziarka; Aleksandra Nowak 001; Maciej Wolczyk; Andrzej Bedychaj (ECML/PKDD (1), 2022)

OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. - Lukasz Maziarka; Marek Smieja; Marcin Sendera; Lukasz Struski; Jacek Tabor; Przemyslaw Spurek (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Extended study on atomic featurization in graph neural networks for molecular property prediction. - Agnieszka Wojtuch; Tomasz Danel; Sabina Podlewska; Lukasz Maziarka (J. Cheminformatics, 2023)

tsGT: Stochastic Time Series Modeling With Transformer. - Lukasz Kucinski; Witold Drzewakowski; Mateusz Olko; Piotr Kozakowski; Lukasz Maziarka; Marta Emilia Nowakowska; Lukasz Kaiser; Piotr Milos (CoRR, 2024)

Multi-Label Conditional Generation From Pre-Trained Models. - Magdalena Proszewska; Maciej Wolczyk; Maciej Zieba; Patryk Wielopolski; Lukasz Maziarka; Marek Smieja (IEEE Trans. Pattern Anal. Mach. Intell., 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, 2024)