activity
20132019
most citedMean field bipartite spin models treated with mechanical techniques

25 citations · 76 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2019★ 5 cited

Equity2Vec: End-to-end Deep Learning Framework for Cross-sectional Asset Pricing

Qiong Wu, Christopher G. Brinton, Zheng Zhang +3

Pricing assets has attracted significant attention from the financial technology community. We observe that the existing solutions overlook the cross-sectional effects and not full…

cs.SI2019

An MBO scheme for clustering and semi-supervised clustering of signed networks

Mihai Cucuringu, Andrea Pizzoferrato, Yves van Gennip

We introduce a principled method for the signed clustering problem, where the goal is to partition a graph whose edge weights take both positive and negative values, such that edge…

cond-mat.stat-mech2018★ 9 cited

Rare event simulation for stochastic dynamics in continuous time

Letizia Angeli, Stefan Grosskinsky, Adam M. Johansen +1

Large deviations for additive path functionals of stochastic dynamics and related numerical approaches have attracted significant recent research interest. We focus on the question…

cond-mat.stat-mech2018★ 12 cited

Current large deviations for partially asymmetric particle systems on a ring

Paul Chleboun, Stefan Grosskinsky, Andrea Pizzoferrato

We study large deviations for the current of one-dimensional stochastic particle systems with periodic boundary conditions. Following a recent approach based on an earlier result b…

cond-mat.stat-mech2016★ 10 cited

Lower current large deviations for zero-range processes on a ring

Paul Chleboun, Stefan Grosskinsky, Andrea Pizzoferrato

We study lower large deviations for the current of totally asymmetric zero-range processes on a ring with concave current-density relation. We use an approach by Jensen and Varadha…

physics.soc-ph2015★ 15 cited

Emerging heterogeneities in Italian customs and comparison with nearby countries

Elena Agliari, Adriano Barra, Andrea Galluzzi +3

In this work we apply techniques and modus operandi typical of Statistical Mechanics to a large dataset about key social quantifiers and compare the resulting behaviours of five Eu…

cond-mat.dis-nn2013★ 25 cited

Mean field bipartite spin models treated with mechanical techniques

Adriano Barra, Andrea Galluzzi, Francesco Guerra +2

Inspired by a continuously increasing interest in modeling and framing complex systems in a thermody- namic rationale, in this paper we continue our investigation in adapting well…

cond-mat.stat-mech2013

Ferromagnetic models for cooperative behavior: Revisiting Universality in complex phenomena

Elena Agliari, Adriano Barra, Andrea Galluzzi +2

Ferromagnetic models are harmonic oscillators in statistical mechanics. Beyond their original scope in tackling phase transition and symmetry breaking in theoretical physics, they…