Gaiński, Piotr
- RGFN: Synthesizable Molecular Generation Using GFlowNets
2024/06/01 by Michał Koziarski, Andrei Rekesh, Koziarski, Michał +15 · 13 citations
Materials Science · Computer Science · Engineering · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Innovative Microfluidic and Catalytic Techniques Innovation
- Relative Molecule Self-Attention Transformer
2021/10/12 by Maziarka, Łukasz, Majchrowski, Dawid, Danel, Tomasz +5 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- ChiENN: Embracing Molecular Chirality with Graph Neural Networks
2023/07/05 by Piotr Gaiński, Gaiński, Piotr, Michał Koziarski +5 · 2 citations
Chemistry · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Molecular spectroscopy and chirality #Quantitative Methods (q-bio.QM)
- Chemist-aligned retrosynthesis by ensembling diverse inductive bias models
2024/12/06 by Krzysztof Maziarz, Guoqing Liu, Maziarz, Krzysztof +20 · 1 voice · 2 citations
Computer Science · Materials Science · #Graph Theory and Algorithms #Machine Learning in Materials Science
- RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets
2024/06/26 by Gaiński, Piotr, Koziarski, Michał, Maziarz, Krzysztof +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks
2023/02/10 by Piotr Gaiński, Gaiński, Piotr, Klaudia Bałazy +1 · 1 citation
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Misinformation and Its Impacts #Topic Modeling