mgr Łukasz Maziarka

Jednostki:

  • Wydział Matematyki i Informatyki UJ
  • Instytut Informatyki i Matematyki Komputerowej
  • Katedra Uczenia Maszynowego

Publikacje:

7.
Flow-based SVDD for anomaly detection, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
5.
Set Aggregation Network as a Trainable Pooling Layer, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
4.
Tomasz Danel, Stanisław Jastrzębski, Łukasz Maziarka, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor
Molecule-Augmented Attention Transformer, NEURAL INFORMATION PROCESSING SYSTEMS (WORKSHOP TRACK) (2019),
3.
Jan Kaczmarczyk, Łukasz Maziarka, Agnieszka Pocha, Krzysztof Rataj, Michał Warchoł
Mol-CycleGAN - A Generative Model for Molecular Optimization, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 810-816
2.
Sylwester Klocek, Łukasz Maziarka, Jakub Nowak, Marek Śmieja, Jacek Tabor, Maciej Wołczyk
Hypernetwork Functional Image Representation, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 496-510

Konferencje:

6.
33rd International Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Vancouver, Kanada, 2019-12-08 - 2019-12-14
5.
ML in PL Conference, Uniwersytet Warszawski, Warszawa, Polska, 2019-11-22 - 2019-11-25
4.
28th International Conference on Artificial Neural Networks, European Neural Network Society, Monachium, Niemcy, 2019-09-17 - 2019-09-19
3.
2nd RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry, The Royal Society of Chemistry, Cambridge, Wielka Brytania, 2019-09-02 - 2019-09-03
1.
PL in ML: Polish View on Machine Learning, Uniwersytet Warszawski, Warszawa, Polska, 2018-12-14 - 2018-12-17

Granty (realizowane po maju 2009 roku)