Guillaume Godin

19 papers Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SCORE: Replacing Layer Stacking with Contractive Recurrent Depth. CoRR Guillaume Godin
2025	J	`jnl`	All You Need Is Synthetic Task Augmentation. CoRR Guillaume Godin
2025	J	`jnl`	Bond-Centered Molecular Fingerprint Derivatives: A BBBP Dataset Study. CoRR Guillaume Godin
2025	—	`conf`	Consensus Prediction of Chemical Reactions with OCHEM-R Platform. ICANN (5) Igor V. Tetko, Guillaume Godin, Kevin Maik Jablonka, Adrian Mirza, Luc Patiny
2025	J	`jnl`	Fast Leave-One-Out Approximation from Fragment-Target Prevalence Vectors (molFTP) : From Dummy Masking to Key-LOO for Leakage-Free Feature Construction. CoRR Guillaume Godin
2025	J	`jnl`	Z-Error Loss for Training Neural Networks. CoRR Guillaume Godin
2024	J	`jnl`	Be aware of overfitting by hyperparameter optimization! CoRR Igor V. Tetko, Ruud van Deursen, Guillaume Godin
2024	J	`jnl`	Be aware of overfitting by hyperparameter optimization! J. Cheminformatics Igor V. Tetko, Ruud van Deursen, Guillaume Godin
2020	J	`jnl`	Augmented Transformer Achieves 97% and 85% for Top5 Prediction of Direct and Classical Retro-Synthesis. CoRR Igor V. Tetko, Pavel Karpov, Ruud van Deursen, Guillaume Godin
2020	J	`jnl`	Beyond Chemical 1D knowledge using Transformers. CoRR Ruud van Deursen, Igor V. Tetko, Guillaume Godin
2020	J	`jnl`	GEN: highly efficient SMILES explorer using autodidactic generative examination networks. J. Cheminformatics Ruud van Deursen, Peter Ertl, Igor V. Tetko, Guillaume Godin
2020	J	`jnl`	Transformer-CNN: Swiss knife for QSAR modeling and interpretation. J. Cheminformatics Pavel Karpov, Guillaume Godin, Igor V. Tetko
2019	—	`conf`	A Transformer Model for Retrosynthesis. ICANN (Workshop) Pavel Karpov, Guillaume Godin, Igor V. Tetko
2019	—	`conf`	Augmentation Is What You Need! ICANN (Workshop) Igor V. Tetko, Pavel Karpov, Eric Bruno, Talia B. Kimber, Guillaume Godin
2019	J	`jnl`	Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks. CoRR Ruud van Deursen, Guillaume Godin
2019	J	`jnl`	GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks. CoRR Ruud van Deursen, Peter Ertl, Igor V. Tetko, Guillaume Godin
2019	J	`jnl`	Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions. CoRR Fabio Capela, Vincent Nouchi, Ruud van Deursen, Igor V. Tetko, Guillaume Godin
2019	J	`jnl`	Transformer-CNN: Fast and Reliable tool for QSAR. CoRR Pavel Karpov, Guillaume Godin, Igor V. Tetko
2018	J	`jnl`	Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction. CoRR Talia B. Kimber, Sebastian Engelke, Igor V. Tetko, Eric Bruno, Guillaume Godin