Łukasz Maziarka
TitleCited byYear
Mol-CycleGAN: a generative model for molecular optimization
Ł Maziarka, A Pocha, J Kaczmarczyk, K Rataj, T Danel, M Warchoł
Journal of Cheminformatics 12 (1), 1-18, 2020
42020
Geometric Graph Convolutional Neural Networks
P Spurek, T Danel, J Tabor, M Śmieja, Ł Struski, A Słowik, Ł Maziarka
arXiv preprint arXiv:1909.05310, 2019
12019
Non-linear ICA based on Cramer-Wold metric
P Spurek, A Nowak, J Tabor, Ł Maziarka, S Jastrzębski
arXiv preprint arXiv:1903.00201, 2019
12019
Hypernetwork functional image representation
S Klocek, Ł Maziarka, M Wołczyk, J Tabor, J Nowak, M Śmieja
International Conference on Artificial Neural Networks (ICANN 2019), 2019
12019
Set Aggregation Network as a Trainable Pooling Layer
Ł Maziarka, M Smieja, A Nowak, J Tabor, Ł Struski, P Spurek
International Conference on Neural Information Processing (ICONIP2019), 2019
1*2019
LOSSGRAD: automatic learning rate in gradient descent
B Wójcik, Ł Maziarka, J Tabor
International Conference on Theoretical Foundations of Machine Learning …, 2019
2019
Unified Molecule Transformer
Ł Maziarka, T Danel, S Mucha, K Rataj, S Jastrzębski
2019
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Articles 1–7