Tomasz Danel
Cited by
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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
Molecule Attention Transformer
Ł Maziarka, T Danel, S Mucha, K Rataj, J Tabor, S Jastrzębski
arXiv preprint arXiv:2002.08264, 2020
Spatial Graph Convolutional Networks
T Danel, P Spurek, J Tabor, M Śmieja, Ł Struski, A Słowik, Ł Maziarka
International Conference on Neural Information Processing, 668-675, 2020
Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark
T Ciepliński, T Danel, S Podlewska, S Jastrzȩbski
Journal of Chemical Information and Modeling, 2023
Relative Molecule Self-Attention Transformer
Ł Maziarka, D Majchrowski, T Danel, P Gaiński, J Tabor, I Podolak, ...
arXiv preprint arXiv:2110.05841, 2021
Docking-based generative approaches in the search for new drug candidates
T Danel, J Łęski, S Podlewska, IT Podolak
Drug Discovery Today 28 (2), 103439, 2023
Comparison of atom representations in graph neural networks for molecular property prediction
A Pocha, T Danel, S Podlewska, J Tabor, Ł Maziarka
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Deep convolutional neural network for preliminary in-field classification of lichen species
A Galanty, T Danel, M Węgrzyn, I Podolak, I Podolak
Biosystems Engineering 204, 15-25, 2021
Multitask Learning Using BERT with Task-Embedded Attention
Ł Maziarka, T Danel
2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021
Processing of incomplete images by (graph) convolutional neural networks
T Danel, M Śmieja, Ł Struski, P Spurek, Ł Maziarka
International Conference on Neural Information Processing, 512-523, 2020
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models
Ł Struski, M Sadowski, T Danel, J Tabor, IT Podolak
IEEE Transactions on Neural Networks and Learning Systems, 2023
SONGs: Self-Organizing Neural Graphs
Ł Struski, T Danel, M Śmieja, J Tabor, B Zieliński
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract)
P Gaiński, Ł Maziarka, T Danel, S Jastrzebski
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12949 …, 2022
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction
D Rymarczyk, D Dobrowolski, T Danel
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
Generation of new inhibitors of selected cytochrome P450 subtypes–In silico study
T Danel, A Wojtuch, S Podlewska
Computational and Structural Biotechnology Journal 20, 5639-5651, 2022
De Novo Drug Design with a Docking Score Proxy
T Danel, M Szymczak, Ł Maziarka, I Podolak, J Tabor, S Jastrzębski
Machine Learning for Molecules Workshop at NeurIPS 2020, 2020
Deep learning methods in pharmaceutical sciences
T Danel
Jagiellonian University, 2023
Deep learning models capture histological disease activity in Crohn’s Disease and Ulcerative Colitis with high fidelity
D Rymarczyk, W Schultz, A Borowa, JR Friedman, T Danel, P Branigan, ...
Journal of Crohn's and Colitis, jjad171, 2023
Extended study on atomic featurization in graph neural networks for molecular property prediction
A Wojtuch, T Danel, S Podlewska, Ł Maziarka
Journal of Cheminformatics 15 (1), 81, 2023
Deep convolutional neural networks on mobile devices
T Danel
Faculty of Mathematics and Computer Science, Jagiellonian University, 2018
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