Najnowsze publikacje

• 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),
• 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
• Łukasz Maziarka, Aleksandra Nowak, Maciej Wołczyk, Andrzej Bedychaj, On the relationship between disentanglement and multi-task learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2022),
• Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Zięba Maciej, Patryk Wielopolski, Rafał Kurczab, Marek Śmieja, PluGeN: Multi-Label Conditional Generation From Pre-Trained Models, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) 36/8 (2022), 8647-8656
• Łukasz Maziarka, Marek Śmieja, Marcin Sendera, Łukasz Struski, Jacek Tabor, Przemysław Spurek, OneFlow: One-class flow for anomaly detection based on a minimal volume region, IEEE Transactions on Pattern Analysis and Machine Intelligence 44/11 (2022), 8508-8519