7 citations · 7 across the 4 of their papers we have counts for
3 papers · 1 filter
gRNAde: Geometric Deep Learning for 3D RNA inverse design
Chaitanya K. Joshi, Arian R. Jamasb, Ramon Viñas +5
Computational RNA design tasks are often posed as inverse problems, where sequences are designed based on adopting a single desired secondary structure without considering 3D confo…
Attentional Meta-learners for Few-shot Polythetic Classification
Ben Day, Ramon Viñas, Nikola Simidjievski +1
Polythetic classifications, based on shared patterns of features that need neither be universal nor constant among members of a class, are common in the natural world and greatly o…
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction
Paris D. L. Flood, Ramon Viñas, Pietro Liò
Link prediction in graphs is an important task in the fields of network science and machine learning. We investigate a flexible means of regularization for link prediction based on…