tsGT: Stochastic Time Series Modeling With Transformer

Authors: Kuciński, Łukasz, Drzewakowski, Witold, Olko, Mateusz, Kozakowski, Piotr, Maziarka, Łukasz, Nowakowska, Marta Emilia, Kaiser, Łukasz, Miłoś, Piotr

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2403.05713

Relative Molecule Self-Attention Transformer

Authors: Maziarka, Łukasz, Majchrowski, Dawid, Danel, Tomasz, Gaiński, Piotr, Tabor, Jacek, Podolak, Igor, Morkisz, Paweł, Jastrzębski, Stanisław

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2110.05841

On the relationship between disentanglement and multi-task learning

Authors: Maziarka, Łukasz, Nowak, Aleksandra, Wołczyk, Maciej, Bedychaj, Andrzej

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2110.03498

PluGeN: Multi-Label Conditional Generation From Pre-Trained Models

Authors: Wołczyk, Maciej, Proszewska, Magdalena, Maziarka, Łukasz, Zięba, Maciej, Wielopolski, Patryk, Kurczab, Rafał, Śmieja, Marek

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2109.09011

Flow-based SVDD for anomaly detection

Authors: Sendera, Marcin, Śmieja, Marek, Maziarka, Łukasz, Struski, Łukasz, Spurek, Przemysław, Tabor, Jacek

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2108.04907

Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction

Authors: Pocha, Agnieszka, Danel, Tomasz, Maziarka, Łukasz

Subject Terms: Physics - Chemical Physics, Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2012.04444

Processing of incomplete images by (graph) convolutional neural networks

Authors: Danel, Tomasz, Śmieja, Marek, Struski, Łukasz, Spurek, Przemysław, Maziarka, Łukasz

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2010.13914

OneFlow: One-class flow for anomaly detection based on a minimal volume region

Authors: Maziarka, Łukasz, Śmieja, Marek, Sendera, Marcin, Struski, Łukasz, Tabor, Jacek, Spurek, Przemysław

Source: 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2010.03002

Molecule Attention Transformer

Authors: Maziarka, Łukasz, Danel, Tomasz, Mucha, Sławomir, Rataj, Krzysztof, Tabor, Jacek, Jastrzębski, Stanisław

Source: Graph Representation Learning workshop and Machine Learning and the Physical Sciences workshop at NeurIPS 2019

Subject Terms: Computer Science - Machine Learning, Physics - Computational Physics, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2002.08264

Spatial Graph Convolutional Networks

Authors: Danel, Tomasz, Spurek, Przemysław, Tabor, Jacek, Śmieja, Marek, Struski, Łukasz, Słowik, Agnieszka, Maziarka, Łukasz

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1909.05310

Non-linear ICA based on Cramer-Wold metric

Authors: Spurek, Przemysław, Nowak, Aleksandra, Tabor, Jacek, Maziarka, Łukasz, Jastrzębski, Stanisław

Source: Neural Information Processing. ICONIP 2020

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1903.00201

Hypernetwork functional image representation

Authors: Klocek, Sylwester, Maziarka, Łukasz, Wołczyk, Maciej, Tabor, Jacek, Nowak, Jakub, Śmieja, Marek

Source: Artificial Neural Networks and Machine Learning -- ICANN 2019: Workshop and Special Sessions

Subject Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1902.10404

LOSSGRAD: automatic learning rate in gradient descent

Authors: Wójcik, Bartosz, Maziarka, Łukasz, Tabor, Jacek

Source: Schedae Informaticae, 2018, Volume 27

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Mathematics - Optimization and Control, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1902.07656

Mol-CycleGAN - a generative model for molecular optimization

Authors: Maziarka, Łukasz, Pocha, Agnieszka, Kaczmarczyk, Jan, Rataj, Krzysztof, Warchoł, Michał

Source: Journal of Cheminformatics 12, 2 (2020)

Subject Terms: Computer Science - Machine Learning, Physics - Chemical Physics, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1902.02119

Set Aggregation Network as a Trainable Pooling Layer

Authors: Maziarka, Łukasz, Śmieja, Marek, Nowak, Aleksandra, Tabor, Jacek, Struski, Łukasz, Spurek, Przemysław

Source: Neural Information Processing. ICONIP 2019

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1810.01868

Relative molecule self-attention transformer.

Authors: Maziarka, Łukasz¹ (AUTHOR) lukasz.maziarka@ii.uj.edu.pl, Majchrowski, Dawid² (AUTHOR), Danel, Tomasz¹ (AUTHOR), Gaiński, Piotr^1,3 (AUTHOR), Tabor, Jacek¹ (AUTHOR), Podolak, Igor¹ (AUTHOR), Morkisz, Paweł² (AUTHOR), Jastrzębski, Stanisław⁴ (AUTHOR)

Source: Journal of Cheminformatics. 1/3/2024, Vol. 16 Issue 1, p1-14. 14p.

Subject Terms: *TRANSFORMER models, *DRUG discovery, *SPACE exploration, *MACHINE learning, *DRUG design

Extended study on atomic featurization in graph neural networks for molecular property prediction.

Authors: Wojtuch, Agnieszka, Danel, Tomasz, Podlewska, Sabina, Maziarka, Łukasz

Source: Journal of Cheminformatics; 11/18/2023, Vol. 15 Issue 1, p1-27, 27p

Subject Terms: TRANSFORMER models, PRENATAL bonding, FORECASTING, PREDICTION models, MOLECULAR graphs

Mol-CycleGAN: a generative model for molecular optimization.

Authors: Maziarka, Łukasz, Pocha, Agnieszka, Kaczmarczyk, Jan, Rataj, Krzysztof, Danel, Tomasz, Warchoł, Michał

Source: Journal of Cheminformatics; 1/8/2020, Vol. 12 Issue 1, p1-18, 18p

Subject Terms: MOLECULAR models, HALOGENS, DRUG development, CHEMICAL structure

LOSSGRAD: Automatic Learning Rate in Gradient Descent.

Authors: WÓJCIK, BARTOSZ, MAZIARKA, ŁUKASZ, TABOR, JACEK

Source: Schedae Informaticae; 2018, Vol. 27, p47-57, 11p

Subject Terms: ARTIFICIAL neural networks, MATHEMATICAL optimization