dr Tomasz Danel

Jednostki:

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

Publikacje:

18.
Łukasz Struski, Michał Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models, IEEE Transactions on Neural Networks and Learning Systems vol. 35/9 (2024), 12068 - 12082
17.
Tobiasz Ciepliński, Tomasz Danel, Sabina Podlewska, Stanisław Jastrzębski
Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark, Journal of Chemical Information and Modeling vol. 63 (2023), 3238-3247
16.
Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, Łukasz Maziarka
Extended study on atomic featurization in graph neural networks for molecular property prediction, Journal of Cheminformatics (2023),
15.
Bartosz Zieliński, Dawid Rymarczyk, Weiwei Schultz, Adriana Borowa, Joshua Friedman, Tomasz Danel, Patrick Branigan, Michał Chałupczak, Anna Bracha, Tomasz Krawiec, Michał Warchoł, Katherine Li, Gert De Hertogh, Louis R. Ghanem, Aleksandar Stojmirovic
Deep learning models capture histological disease activity in Crohn’s Disease and Ulcerative Colitis with high fidelity, Journal of Crohns & Colitis vol. 20 (2023), 1-11
14.
Tomasz Danel, Jan Łęski, Sabina Podlewska, Igor Podolak
Docking-based generative approaches in the search for new drug candidates, Drug Discovery Today vol. 28/2 (2023), 103439
13.
Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction, SIAM International Conference on Data Mining [SDM] vol. 978-1-61197-765-3 (2023), 379 - 387
12.
Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846
11.
Tomasz Danel, Agnieszka Wojtuch, Sabina Podlewska
Generation of new inhibitors of selected cytochrome P450 subtypes – in silico study, Computational and Structural Biotechnology Journal (2022),
10.
Piotr Gaiński, Łukasz Maziarka, Tomasz Danel, Stanisław Jastrzębski
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI], (2022), 12949-12950
9.
Tomasz Danel, Agnieszka Galanty, Igor Podolak, Irma Podolak, Michał Węgrzyn
Deep convolutional neural network for preliminary in-field classification of lichen species, Biosystems Engineering (2021), 15-25
8.
Tomasz Danel, Piotr Gaiński, Stanisław Jastrzębski, Łukasz Maziarka
HuggingMolecules: an open-source library for transformer-based molecular property prediction, International Conference On Learning Representations (workshop Track) (2021),
7.
Tomasz Danel, Łukasz Maziarka
Multitask Learning Using BERT with Task-Embedded Attention, IEEE International Joint Conference on Neural Networks [IJCNN], (2021),
6.
Tomasz Danel, Łukasz Maziarka, Sabina Podlewska, Jacek Tabor, Agnieszka Wojtuch
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction, IEEE International Joint Conference on Neural Networks [IJCNN], (2021), 1-8
5.
Tomasz Danel, Marek Śmieja, Łukasz Struski, Przemysław Spurek, Łukasz Maziarka
Processing of Incomplete Images by (Graph) Convolutional Neural Networks, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science, volume 12533 (2020), 512-523
4.
Tomasz Danel, Przemysław Spurek, Jacek Tabor, Marek Śmieja, Łukasz Struski, Agnieszka Słowik, Łukasz Maziarka
Spatial Graph Convolutional Networks, International Conference On Neural Information Processing vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
3.
Tomasz Danel, Marek Śmieja, Łukasz Struski, Przemysław Spurek, Łukasz Maziarka
Processing of incomplete images by (graph) convolutional neural networks, International Conference On Machine Learning (workshop Track) (2020),
2.
Tomasz Danel, Jan Kaczmarczyk, Łukasz Maziarka, Krzysztof Rataj, Michał Warchoł, Agnieszka Wojtuch
Mol-CycleGAN: a generative model for molecular optimization, Journal of Cheminformatics vol. 12 (2020),
1.
Tomasz Danel, Stanisław Jastrzębski, Łukasz Maziarka, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor
Molecule-Augmented Attention Transformer, Neural Information Processing Systems (workshop Track) (2019),

Konferencje:

4.
Tomasz Danel.
IEEE Workshop on Applications of Computer Vision [WACV], CVF/IEEE, Waikoloa, USA, 2023-01-03 - 2023-01-07
3.
Agnieszka Wojtuch, Tomasz Danel, Konrad Walkowicz.
34th Conference on Neural Information Processing Systems [NeurIPS 2020], Neural Information Processing Systems Foundation, [virtual], [virtual], 2020-12-06 - 2020-12-12
2.
Łukasz Maziarka, Maciej Szymczak, Tomasz Danel.
ML in PL Conference, Uniwersytet Warszawski, Warszawa, Polska, 2019-11-22 - 2019-11-25
1.
Marek Śmieja, Łukasz Struski, Agnieszka Wojtuch, Łukasz Maziarka, Tomasz Danel.
TFML 3rd International Conference on Theoretical Foundations of Machine Learning, Uniwersytet Jagielloński, Kraków, Polska, 2019-02-11 - 2019-02-15

Granty (realizowane po maju 2009 roku)

TytułRolaRozpoczęcieZakończenie
Połączenie symulacji molekularnej i uczenia głębokiego w projektowaniu leków de novoKierownik2021-02-012024-01-31