1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Fast and scalable retrosynthetic planning with a transformer neural network and speculative beam search
Mikhail Andronov, Natalia Andronova, Michael Wand +2
AI-based computer-aided synthesis planning (CASP) systems are in demand as components of AI-driven drug discovery workflows. However, the high latency of such CASP systems limits t…
cs.LG2024★ 1 cited
Accelerating the inference of string generation-based chemical reaction models for industrial applications
Mikhail Andronov, Natalia Andronova, Michael Wand +2
Template-free SMILES-to-SMILES translation models for reaction prediction and single-step retrosynthesis are of interest for industrial applications in computer-aided synthesis pla…