Ramón Viñas Torné

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Multiple Imputation

Learning Strategies

Graph Representation

Top Venues

Publications

Elisa Gómez de Lope, Saurabh Deshpande, Ramón Viñas Torné, Pietro Liò, Enrico Glaab, Stéphane P. A. Bordas
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease. CoRR (2024)
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb
Classification of datasets with imputed missing values: does imputation quality matter? CoRR (2022)
Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks. NeurIPS (2022)
Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió
Attentional Meta-learners for Few-shot Polythetic Classification. ICML (2022)
Amine Amor, Pietro Lio', Vikash Singh, Ramón Viñas Torné, Helena Andrés-Terré
Graph Representation Learning on Tissue-Specific Multi-Omics. CoRR (2021)
James King, Ramón Viñas Torné, Alexander Campbell, Pietro Liò
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution. CoRR (2021)
Pietro Barbiero, Ramón Viñas Torné, Pietro Lió
Graph representation forecasting of patient's medical conditions: towards a digital twin. CoRR (2020)