Torné, Ramon Viñas

6 publications

ICLR 2025 gRNAde: Geometric Deep Learning for 3D RNA Inverse Design Chaitanya K. Joshi, Arian Rokkum Jamasb, Ramon Viñas Torné, Charles Harris, Simon V Mathis, Alex Morehead, Rishabh Anand, Pietro Lio

ICML 2022 Attentional Meta-Learners for Few-Shot Polythetic Classification Ben J Day, Ramon Viñas Torné, Nikola Simidjievski, Pietro Lió

NeurIPSW 2022 Benchmarking Graph Neural Network-Based Imputation Methods on Single-Cell Transcriptomics Data Han-Bo Li, Ramon Viñas Torné, Pietro Lio

NeurIPS 2022 Graphein - A Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks Arian Jamasb, Ramon Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom Blundell

ICMLW 2022 Graphein - A Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks Arian Rokkum Jamasb, Ramon Viñas Torné, Eric J Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lio, Tom Leon Blundell

NeurIPSW 2022 Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks Han-Bo Li, Ramon Viñas Torné, Pietro Lio