467 citations · 4.2k across the 83 of their papers we have counts for
84 papers
A High-Order Cumulant Extension of Quasi-Linkage Equilibrium
Kai S. Shimagaki, Jorge Fernandez-de-Cossio-Diaz, Mauro Pastore +3
A central question in evolutionary biology is how to quantitatively understand the dynamics of genetically diverse populations. Modeling the genotype distribution is challenging, a…
Task learning through stimulation-induced plasticity in neural networks
Francesco Borra, Simona Cocco, Rémi Monasson
Synaptic plasticity dynamically shapes the connectivity of neural systems and is key to learning processes in the brain. To what extent the mechanisms of plasticity can be exploite…
Restoring balance: principled under/oversampling of data for optimal classification
Emanuele Loffredo, Mauro Pastore, Simona Cocco +1
Class imbalance in real-world data poses a common bottleneck for machine learning tasks, since achieving good generalization on under-represented examples is often challenging. Mit…
Unlearning regularization for Boltzmann Machines
Enrico Ventura, Simona Cocco, Rémi Monasson +1
Boltzmann Machines (BMs) are graphical models with interconnected binary units, employed for the unsupervised modeling of data distributions. When trained on real data, BMs show th…
Information content in continuous attractor neural networks is preserved in the presence of moderate disordered background connectivity
Tobias Kühn, Rémi Monasson
Continuous attractor neural networks (CANN) form an appealing conceptual model for the storage of information in the brain. However a drawback of CANN is that they require finely t…
Transition paths in Potts-like energy landscapes: general properties and application to protein sequence models
Eugenio Mauri, Simona Cocco, Rémi Monasson
We study transition paths in energy landscapes over multi-categorical Potts configurations using the mean-field approach introduced by Mauri et al., {\em Phys Rev Lett 130, 158402…