Lukasz Maziarka

31 papers A* 2B 2Journal 20Unranked 7

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