Guillaume Godin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Reasoning Processes

Multitask Learning

Top Venues

J. Cheminformatics

ICANN (Workshop)

Publications

Igor V. Tetko, Ruud van Deursen, Guillaume Godin
Be aware of overfitting by hyperparameter optimization! CoRR (2024)
Pavel Karpov, Guillaume Godin, Igor V. Tetko
Transformer-CNN: Swiss knife for QSAR modeling and interpretation. J. Cheminformatics 12 (1) (2020)
Ruud van Deursen, Igor V. Tetko, Guillaume Godin
Beyond Chemical 1D knowledge using Transformers. CoRR (2020)
Igor V. Tetko, Pavel Karpov, Ruud van Deursen, Guillaume Godin
Augmented Transformer Achieves 97% and 85% for Top5 Prediction of Direct and Classical Retro-Synthesis. CoRR (2020)
Ruud van Deursen, Peter Ertl, Igor V. Tetko, Guillaume Godin
GEN: highly efficient SMILES explorer using autodidactic generative examination networks. J. Cheminformatics 12 (1) (2020)
Ruud van Deursen, Peter Ertl, Igor V. Tetko, Guillaume Godin
GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks. CoRR (2019)
Fabio Capela, Vincent Nouchi, Ruud van Deursen, Igor V. Tetko, Guillaume Godin
Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions. CoRR (2019)
Pavel Karpov, Guillaume Godin, Igor V. Tetko
Transformer-CNN: Fast and Reliable tool for QSAR. CoRR (2019)
Igor V. Tetko, Pavel Karpov, Eric Bruno, Talia B. Kimber, Guillaume Godin
Augmentation Is What You Need! ICANN (Workshop) (2019)
Pavel Karpov, Guillaume Godin, Igor V. Tetko
A Transformer Model for Retrosynthesis. ICANN (Workshop) (2019)
Ruud van Deursen, Guillaume Godin
Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks. CoRR (2019)
Talia B. Kimber, Sebastian Engelke, Igor V. Tetko, Eric Bruno, Guillaume Godin
Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction. CoRR (2018)