20 citations
3 papers
cs.LG2020★ 4 cited
Finding trainable sparse networks through Neural Tangent Transfer
Tianlin Liu, Friedemann Zenke
Deep neural networks have dramatically transformed machine learning, but their memory and energy demands are substantial. The requirements of real biological neural networks are ra…
q-bio.BM2020★ 20 cited
Effective Model of Loop Extrusion Predicts Chromosomal Domains
M. Crippa, Y. Zhan, G. Tiana
An active loop-extrusion mechanism is regarded as the main out--of--equilibrium mechanism responsible for the structuring of megabase-sized domains in chromosomes. We developed a m…
q-bio.QM2016★ 6 cited
The looping probability of random heteropolymers helps to understand the scaling properties of biopolymers
Y. Zhan, L. Giorgetti, G. Tiana
Random heteropolymers are a minimal description of biopolymers and can provide a theoretical framework to the investigate the formation of loops in biophysical experiments. A two--…