Pascal Notin
Publications by Year
Research Areas
Genomics and Phylogenetic Studies, Machine Learning in Bioinformatics, Protein Structure and Dynamics, RNA and protein synthesis mechanisms, Bioinformatics and Genomic Networks
Most-Cited Works
- → Disease variant prediction with deep generative models of evolutionary data(2021)802 cited
- → Machine learning for functional protein design(2024)213 cited
- → ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction(2023)190 cited
- → Learning from prepandemic data to forecast viral escape(2023)164 cited
- → Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval(2022)123 cited
- → RITA: a Study on Scaling Up Generative Protein Sequence Models(2022)59 cited
- → TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction(2022)59 cited
- → Mixtures of large-scale dynamic functional brain network modes(2022)47 cited
- → Improving black-box optimization in VAE latent space using decoder uncertainty(2021)24 cited
- → ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers(2023)22 cited