110 citations · 138 across the 2 of their papers we have counts for
2 papers
cond-mat.dis-nn2022★ 28 cited
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
Simone Ciarella, Jeanne Trinquier, Martin Weigt +1
Several strategies have been recently proposed in order to improve Monte Carlo sampling efficiency using machine learning tools. Here, we challenge these methods by considering a c…
q-bio.BM2021★ 110 cited
Efficient generative modeling of protein sequences using simple autoregressive models
Jeanne Trinquier, Guido Uguzzoni, Andrea Pagnani +2
Generative models emerge as promising candidates for novel sequence-data driven approaches to protein design, and for the extraction of structural and functional information about…