Najnowsze publikacje

• Piotr Gaiński, Klaudia Bałazy, Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks, European Association of Computational Linguistics [EACL] Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (2023), 2038–2048
• Piotr Gaiński, Michał Koziarski, Jacek Tabor, Marek Śmieja, ChiENN: Embracing Molecular Chirality with Graph Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] Lecture Notes in Computer Science(), vol 14171. Springer, Cham (2023), 36-52
• 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
• 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) International Conference On Learning Representations (workshop Track) (2021),