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Łukasz Maziarka
Łukasz Maziarka
Jagiellonian University & Brainly
Verified email at student.uj.edu.pl
Title
Cited by
Cited by
Year
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
2612020
Molecule Attention Transformer
Ł Maziarka, T Danel, S Mucha, K Rataj, J Tabor, S Jastrzębski
Neural Information Processing Systems (NeurIPS 2019 - Workshop track), 2020
195*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 (ICONIP 2020 …, 2019
101*2019
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
832019
Relative Molecule Self-Attention Transformer
Ł Maziarka, D Majchrowski, T Danel, P Gaiński, J Tabor, I Podolak, ...
Journal of Cheminformatics 16 (1), 3, 2021
232021
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction
A Pocha, T Danel, S Podlewska, J Tabor, Ł Maziarka
International Joint Conference on Neural Networks (IJCNN 2021); Neural …, 2020
82020
OneFlow: One-class flow for anomaly detection based on a minimal volume region
Ł Maziarka, M Smieja, M Sendera, Ł Struski, J Tabor, P Spurek
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
6*2021
Non-linear ICA based on Cramer-Wold metric
P Spurek, A Nowak, J Tabor, Ł Maziarka, S Jastrzębski
International Conference on Neural Information Processing (ICONIP 2020), 2019
62019
LOSSGRAD: automatic learning rate in gradient descent
B Wójcik, Ł Maziarka, J Tabor
International Conference on Theoretical Foundations of Machine Learning …, 2019
62019
Plugen: Multi-label conditional generation from pre-trained models
M Wołczyk, M Proszewska, Ł Maziarka, M Zieba, P Wielopolski, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8647-8656, 2022
42022
Multitask learning using BERT with task-embedded attention
Ł Maziarka, T Danel
2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021
42021
Processing of incomplete images by (graph) convolutional neural networks
T Danel, M Śmieja, Ł Struski, P Spurek, L Maziarka
International Conference on Machine Learning (ICML 2020 - Workshop track …, 2020
42020
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
32023
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
32022
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 (ICONIP 2019), 2019
3*2019
On the relationship between disentanglement and multi-task learning
Ł Maziarka, A Nowak, M Wołczyk, A Bedychaj
European Conference on Machine Learning (ECMLPKDD 2022), 2021
22021
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
22020
Multi-Label Conditional Generation From Pre-Trained Models
M Proszewska, M Wołczyk, M Zieba, P Wielopolski, Ł Maziarka, M Śmieja
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2024
: Stochastic Time Series Modeling With Transformer
Ł Kuciński, W Drzewakowski, M Olko, P Kozakowski, Ł Maziarka, ...
arXiv preprint arXiv:2403.05713, 2024
2024
Stochastyczne Równania Różniczkowe Wstecz-teoria, zastosowania, symulacje
Ł Maziarka
2020
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