Lukasz Maziarka

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Structured Data

Generative Model

Multitask Learning

Top Venues

J. Cheminformatics

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
Relative molecule self-attention transformer. J. Cheminformatics 16 (1) (2024)
Magdalena Proszewska, Maciej Wolczyk, Maciej Zieba, Patryk Wielopolski, Lukasz Maziarka, Marek Smieja
Multi-Label Conditional Generation From Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Lukasz Kucinski, Witold Drzewakowski, Mateusz Olko, Piotr Kozakowski, Lukasz Maziarka, Marta Emilia Nowakowska, Lukasz Kaiser, Piotr Milos
tsGT: Stochastic Time Series Modeling With Transformer. CoRR (2024)
Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, Lukasz Maziarka
Extended study on atomic featurization in graph neural networks for molecular property prediction. J. Cheminformatics 15 (1) (2023)
Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
PluGeN: Multi-Label Conditional Generation from Pre-trained Models. AAAI (2022)
Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj
On the Relationship Between Disentanglement and Multi-task Learning. ECML/PKDD (1) (2022)
Piotr Gainski, Lukasz Maziarka, Tomasz Danel, Stanislaw Jastrzebski
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract). AAAI (2022)
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Lukasz Maziarka, Tomasz Danel
Multitask Learning Using BERT with Task-Embedded Attention. IJCNN (2021)
Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor
Flow-based SVDD for anomaly detection. CoRR (2021)
Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj
On the relationship between disentanglement and multi-task learning. CoRR (2021)
Agnieszka Pocha, Tomasz Danel, Sabina Podlewska, Jacek Tabor, Lukasz Maziarka
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. IJCNN (2021)
Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel Morkisz, Stanislaw Jastrzebski
Relative Molecule Self-Attention Transformer. CoRR (2021)
Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models. CoRR (2021)
Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) (2020)
Agnieszka Pocha, Tomasz Danel, Lukasz Maziarka
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. CoRR (2020)
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
Flow-based anomaly detection. CoRR (2020)
Lukasz Maziarka, Tomasz Danel, Slawomir Mucha, Krzysztof Rataj, Jacek Tabor, Stanislaw Jastrzebski
Molecule Attention Transformer. CoRR (2020)
Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) (2020)
Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
Spatial Graph Convolutional Networks. ICONIP (5) (2020)
Lukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Tomasz Danel, Michal Warchol
Mol-CycleGAN: a generative model for molecular optimization. J. Cheminformatics 12 (1) (2020)
Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
Processing of incomplete images by (graph) convolutional neural networks. CoRR (2020)
Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
Non-linear ICA based on Cramer-Wold metric. CoRR (2019)
Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
Geometric Graph Convolutional Neural Networks. CoRR (2019)
Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak
Multi-task hypernetworks. CoRR (2019)
Lukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michal Warchol
Mol-CycleGAN - A Generative Model for Molecular Optimization. ICANN (Workshop) (2019)
Lukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Michal Warchol
Mol-CycleGAN - a generative model for molecular optimization. CoRR (2019)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) (2019)
Bartosz Wójcik, Lukasz Maziarka, Jacek Tabor
LOSSGRAD: automatic learning rate in gradient descent. CoRR (2019)
Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja
Hypernetwork Functional Image Representation. ICANN (Workshop) (2019)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Deep processing of structured data. CoRR (2018)