715 citations
- Istituto Nazionale di Fisica Nucleare, Sezione di TriesteIT79 papers
- Trieste Astronomical ObservatoryIT79 papers
- Institute for Fundamental Physics of the UniverseIT78 papers
- Scuola Internazionale Superiore di Studi AvanzatiIT78 papers
- Ludwig-Maximilians-Universität MünchenDE75 papers
- Max Planck Institute for AstronomyDE75 papers
- University of BolognaIT75 papers
- University of TriesteIT75 papers
- University of EdinburghGB74 papers
- Astronomical Observatory of CapodimonteIT73 papers
- Brera Astronomical ObservatoryIT73 papers
- California Institute of TechnologyUS73 papers
8 papers · 1 filter
Learning Ideological Embeddings from Information Cascades
Corrado Monti, Giuseppe Manco, Cigdem Aslay +1
Modeling information cascades in a social network through the lenses of the ideological leaning of its users can help understanding phenomena such as misinformation propagation and…
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus
Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli +1
The development of automated approaches to linguistic acceptability has been greatly fostered by the availability of the English CoLA corpus, which has also been included in the wi…
An Argumentative Dialogue System for COVID-19 Vaccine Information
Bettina Fazzinga, Andrea Galassi, Paolo Torroni
Dialogue systems are widely used in AI to support timely and interactive communication with users. We propose a general-purpose dialogue system architecture that leverages computat…
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift
Maximilian Autenrieth, David A. van Dyk, Roberto Trotta +1
We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as c…
Active Inference Tree Search in Large POMDPs
Domenico Maisto, Francesco Gregoretti, Karl Friston +1
The ability to plan ahead efficiently is key for both living organisms and artificial systems. Model-based planning and prospection are widely studied in cognitive neuroscience and…
How we are leading a 3-XORSAT challenge: from the energy landscape to the algorithm and its efficient implementation on GPUs
M. Bernaschi, M. Bisson, M. Fatica +4
A recent 3-XORSAT challenge required to minimize a very complex and rough energy function, typical of glassy models with a random first order transition and a golf course like ener…