| Mol-CycleGAN: a generative model for molecular optimization £ Maziarka, A Pocha, J Kaczmarczyk, K Rataj, T Danel, M Warcho³ Journal of Cheminformatics 12 (1), 1-18, 2020 | 236 | 2020 |
| Molecule Attention Transformer £ Maziarka, T Danel, S Mucha, K Rataj, J Tabor, S Jastrzźbski Neural Information Processing Systems (NeurIPS 2019 - Workshop track), 2020 | 178* | 2020 |
| Spatial Graph Convolutional Networks T Danel, P Spurek, J Tabor, M ¦mieja, £ Struski, A S³owik, £ Maziarka International Conference on Neural Information Processing (ICONIP 2020 …, 2019 | 86* | 2019 |
| Hypernetwork functional image representation S Klocek, £ Maziarka, M Wo³czyk, J Tabor, J Nowak, M ¦mieja International Conference on Artificial Neural Networks (ICANN 2019), 2019 | 79 | 2019 |
| Relative Molecule Self-Attention Transformer £ Maziarka, D Majchrowski, T Danel, P Gaiński, J Tabor, I Podolak, ... Journal of Cheminformatics 16 (1), 3, 2021 | 17 | 2021 |
| Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction A Pocha, T Danel, S Podlewska, J Tabor, £ Maziarka International Joint Conference on Neural Networks (IJCNN 2021); Neural …, 2020 | 8 | 2020 |
| Non-linear ICA based on Cramer-Wold metric P Spurek, A Nowak, J Tabor, £ Maziarka, S Jastrzźbski International Conference on Neural Information Processing (ICONIP 2020), 2019 | 6 | 2019 |
| LOSSGRAD: automatic learning rate in gradient descent B Wójcik, £ Maziarka, J Tabor International Conference on Theoretical Foundations of Machine Learning …, 2019 | 5 | 2019 |
| OneFlow: One-class flow for anomaly detection based on a minimal volume region £ Maziarka, M Smieja, M Sendera, £ Struski, J Tabor, P Spurek IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 4* | 2021 |
| Multitask learning using BERT with task-embedded attention £ Maziarka, T Danel 2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021 | 4 | 2021 |
| Processing of incomplete images by (graph) convolutional neural networks T Danel, M ¦mieja, £ Struski, P Spurek, L Maziarka International Conference on Machine Learning (ICML 2020 - Workshop track …, 2020 | 4 | 2020 |
| Plugen: Multi-label conditional generation from pre-trained models M Wo³czyk, M Proszewska, £ Maziarka, M Zieba, P Wielopolski, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8647-8656, 2022 | 3 | 2022 |
| Set Aggregation Network as a Trainable Pooling Layer £ Maziarka, M Smieja, A Nowak, J Tabor, £ Struski, P Spurek International Conference on Neural Information Processing (ICONIP 2019), 2019 | 3* | 2019 |
| Huggingmolecules: An open-source library for transformer-based molecular property prediction (student abstract) P Gaiński, £ Maziarka, T Danel, S Jastrzebski Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12949 …, 2022 | 2 | 2022 |
| On the relationship between disentanglement and multi-task learning £ Maziarka, A Nowak, M Wo³czyk, A Bedychaj European Conference on Machine Learning (ECMLPKDD 2022), 2021 | 2 | 2021 |
| Extended study on atomic featurization in graph neural networks for molecular property prediction A Wojtuch, T Danel, S Podlewska, £ Maziarka Journal of Cheminformatics 15 (1), 81, 2023 | 1 | 2023 |
| De Novo Drug Design with a Docking Score Proxy T Danel, M Szymczak, £ Maziarka, I Podolak, J Tabor, S Jastrzźbski Machine Learning for Molecules Workshop at NeurIPS 2020, 2020 | 1 | 2020 |
| Multi-Label Conditional Generation From Pre-Trained Models M Proszewska, M Wo³czyk, M Zieba, P Wielopolski, £ Maziarka, M ¦mieja IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
| : Stochastic Time Series Modeling With Transformer £ Kuciński, W Drzewakowski, M Olko, P Kozakowski, £ Maziarka, ... arXiv preprint arXiv:2403.05713, 2024 | | 2024 |
| Flow-based SVDD for anomaly detection M Sendera, M Smieja, £ Maziarka, £ Struski, P Spurek, J Tabor International Conference on Machine Learning (ICML 2020 - Workshop track), 2020 | | 2020 |
Tomasz DanelJagiellonian UniversityPotvršena adresa e-po¹te na uj.edu.pl
