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pro vyhledávání: '"Sacha, Mikołaj"'
Autor:
Sacha, Mikołaj, Sadowski, Michał, Kozakowski, Piotr, van Workum, Ruard, Jastrzębski, Stanisław
Retrosynthesis involves determining a sequence of reactions to synthesize complex molecules from simpler precursors. As this poses a challenge in organic chemistry, machine learning has offered solutions, particularly for predicting possible reaction
Externí odkaz:
http://arxiv.org/abs/2310.07313
Autor:
Sacha, Mikołaj, Jura, Bartosz, Rymarczyk, Dawid, Struski, Łukasz, Tabor, Jacek, Zieliński, Bartosz
Prototypical parts-based networks are becoming increasingly popular due to their faithful self-explanations. However, their similarity maps are calculated in the penultimate network layer. Therefore, the receptive field of the prototype activation re
Externí odkaz:
http://arxiv.org/abs/2308.08162
Publikováno v:
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 1481-1492
We introduce ProtoSeg, a novel model for interpretable semantic image segmentation, which constructs its predictions using similar patches from the training set. To achieve accuracy comparable to baseline methods, we adapt the mechanism of prototypic
Externí odkaz:
http://arxiv.org/abs/2301.12276
Autor:
Sacha, Mikołaj, Błaż, Mikołaj, Byrski, Piotr, Dąbrowski-Tumański, Paweł, Chromiński, Mikołaj, Loska, Rafał, Włodarczyk-Pruszyński, Paweł, Jastrzębski, Stanisław
The central challenge in automated synthesis planning is to be able to generate and predict outcomes of a diverse set of chemical reactions. In particular, in many cases, the most likely synthesis pathway cannot be applied due to additional constrain
Externí odkaz:
http://arxiv.org/abs/2006.15426
Akademický článek
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