activity
20122026
most citedDynamic Graph Convolutional Networks

461 citations · 797 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CL2026

A Jury, Not an Electorate: Label-Free Reliability Estimation for Ensembles of Language Models

Alessandro Rozza, Davide Mambelli, Steven Motta +1

An ensemble of language models is a jury, not an electorate. The answers are testimony from witnesses of unknown reliability, and the question is not what the majority said but who…

cs.LG2024

A Primal-Dual Online Learning Approach for Dynamic Pricing of Sequentially Displayed Complementary Items under Sale Constraints

Francesco Emanuele Stradi, Filippo Cipriani, Lorenzo Ciampiconi +3

We address the challenging problem of dynamically pricing complementary items that are sequentially displayed to customers. An illustrative example is the online sale of flight tic…

cs.LG2023★ 24 cited

A survey and taxonomy of loss functions in machine learning

Lorenzo Ciampiconi, Adam Elwood, Marco Leonardi +2

Most state-of-the-art machine learning techniques revolve around the optimisation of loss functions. Defining appropriate loss functions is therefore critical to successfully solvi…

cs.LG2022★ 1 cited

Maximum entropy exploration in contextual bandits with neural networks and energy based models

Adam Elwood, Marco Leonardi, Ashraf Mohamed +1

Contextual bandits can solve a huge range of real-world problems. However, current popular algorithms to solve them either rely on linear models, or unreliable uncertainty estimati…

cs.CV2021★ 63 cited

Composition and Style Attributes Guided Image Aesthetic Assessment

Luigi Celona, Marco Leonardi, Paolo Napoletano +1

The aesthetic quality of an image is defined as the measure or appreciation of the beauty of an image. Aesthetics is inherently a subjective property but there are certain factors…

cs.LG2021★ 5 cited

Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework

Adam Elwood, Alberto Gasparin, Alessandro Rozza

With the rise in use of social media to promote branded products, the demand for effective influencer marketing has increased. Brands are looking for improved ways to identify valu…