Author of the publication

Augmented Transformer Achieves 97% and 85% for Top5 Prediction of Direct and Classical Retro-Synthesis.

, , , and . CoRR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction., , , , and . CoRR, (2018)A Transformer Model for Retrosynthesis., , and . ICANN (Workshop), volume 11731 of Lecture Notes in Computer Science, page 817-830. Springer, (2019)Beyond Chemical 1D knowledge using Transformers., , and . CoRR, (2020)Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions., , , , and . CoRR, (2019)Augmented Transformer Achieves 97% and 85% for Top5 Prediction of Direct and Classical Retro-Synthesis., , , and . CoRR, (2020)Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks., and . CoRR, (2019)GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks., , , and . CoRR, (2019)Augmentation Is What You Need!, , , , and . ICANN (Workshop), volume 11731 of Lecture Notes in Computer Science, page 831-835. Springer, (2019)GEN: highly efficient SMILES explorer using autodidactic generative examination networks., , , and . J. Cheminformatics, 12 (1): 22 (2020)Transformer-CNN: Fast and Reliable tool for QSAR., , and . CoRR, (2019)