Piotr Gaiński
Publications by Year
Research Areas
Machine Learning in Materials Science, Computational Drug Discovery Methods, Topic Modeling, Generative Adversarial Networks and Image Synthesis, Misinformation and Its Impacts
Most-Cited Works
- → Relative molecule self-attention transformer(2024)31 cited
- → Re-evaluating retrosynthesis algorithms with Syntheseus(2024)28 cited
- → RGFN: Synthesizable Molecular Generation Using GFlowNets(2024)8 cited
- → Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks(2023)6 cited
- → ChiENN: Embracing Molecular Chirality with Graph Neural Networks(2023)5 cited
- → HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract)(2022)4 cited
- → Chemist-aligned retrosynthesis by ensembling diverse inductive bias models(2024)3 cited