activity
20122020
most citedWeather impacts expressed sentiment

179 citations · 256 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2020★ 8 cited

Smooth activations and reproducibility in deep networks

Gil I. Shamir, Dong Lin, Lorenzo Coviello

Deep networks are gradually penetrating almost every domain in our lives due to their amazing success. However, with substantive performance accuracy improvements comes the price o…

cs.LG2020★ 6 cited

Anti-Distillation: Improving reproducibility of deep networks

Gil I. Shamir, Lorenzo Coviello

Deep networks have been revolutionary in improving performance of machine learning and artificial intelligence systems. Their high prediction accuracy, however, comes at a price of…

stat.AP2017★ 179 cited

Weather impacts expressed sentiment

Patrick Baylis, Nick Obradovich, Yury Kryvasheyeu +5

We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a hal…

cs.CY2016★ 61 cited

Superintelligence cannot be contained: Lessons from Computability Theory

Manuel Alfonseca, Manuel Cebrian, Antonio Fernandez Anta +3

Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. In light of recent advances in machine intel…

physics.soc-ph2015★ 2 cited

Limits of Friendship Networks in Predicting Epidemic Risk

Lorenzo Coviello, Massimo Franceschetti, Manuel Garcia-Herranz +1

The spread of an infection on a real-world social network is determined by the interplay of two processes: the dynamics of the network, whose structure changes over time according…

cs.GT2015

Group buying with bundle discounts: computing efficient, stable and fair solutions

Lorenzo Coviello, Yiling Chen, Massimo Franceschetti

We model a market in which nonstrategic vendors sell items of different types and offer bundles at discounted prices triggered by demand volumes. Each buyer acts strategically in o…

cs.MA2012

Distributed team formation in multi-agent systems: stability and approximation

Lorenzo Coviello, Massimo Franceschetti

We consider a scenario in which leaders are required to recruit teams of followers. Each leader cannot recruit all followers, but interaction is constrained according to a bipartit…