activity
19982024
most citedConstrained Markovian dynamics of random graphs

58 citations · 148 across the 11 of their papers we have counts for

collaborators

12 papers

cond-mat.dis-nn2024

Fundamental operating regimes, hyper-parameter fine-tuning and glassiness: towards an interpretable replica-theory for trained restricted Boltzmann machines

Alberto Fachechi, Elena Agliari, Miriam Aquaro +2

We consider restricted Boltzmann machines with a binary visible layer and a Gaussian hidden layer trained by an unlabelled dataset composed of noisy realizations of a single ground…

math.ST2024

Observable asymptotics of regularized Cox regression models with standard Gaussian designs: a statistical mechanics approach

Emanuele Massa, Anthony Coolen

We study the asymptotic behaviour of the Regularized Maximum Partial Likelihood Estimator (RMPLE) in the proportional limit, considering an arbitrary convex regularizer and assumin…

stat.ME2024★ 1 cited

Bayesian Federated Inference for Survival Models

Hassan Pazira, Emanuele Massa, Jetty AM Weijers +2

In cancer research, overall survival and progression free survival are often analyzed with the Cox model. To estimate accurately the parameters in the model, sufficient data and, m…

stat.ME2023

Replica analysis of overfitting in regression models for time to event data: the impact of censoring

Emanuele Massa, Alexander Mozeika, Anthony Coolen

We use statistical mechanics techniques, viz. the replica method, to model the effect of censoring on overfitting in Cox's proportional hazards model, the dominant regression metho…

stat.ME2022★ 6 cited

Correction of overfitting bias in regression models

Emanuele Massa, Marianne Jonker, Kit Roes +1

Regression analysis based on many covariates is becoming increasingly common. However, when the number of covariates is of the same order as the number of observations , max…

cond-mat.dis-nn2013★ 52 cited

Immune networks: multi-tasking capabilities near saturation

Elena Agliari, Alessia Annibale, Adriano Barra +2

Pattern-diluted associative networks were introduced recently as models for the immune system, with nodes representing T-lymphocytes and stored patterns representing signalling pro…