Autonomous Linguistic Emergence in Neural Networks (ALiEN)
ERC Advanced Grant (2022-2027). The aim of ALiEN is to let deep neural networks develop a shared communication protocol from the ground up, so that they can solve joint problems more flexibly.

Contextual effects in the choice of referring expressions for visually presented entities (CORE)
Grant of the Spanish Research Agency (2021-2025). CORE aims at providing a better understanding of how humans choose referring expressions, depending on both online contextual factors and on the implicit semantic organization of alternatives.

Multimodal Agents Grounded via Interactive Communication (MAGIC) - CLOSED
Marie Sklodowska-Curie grant (2018-2020) that aimed at equipping artificial agents with diverse language skills (goal completion, interaction with an interlocutor, reference to objects) within one single dynamic, interactive learning environment.

A Distributional Model of Reference to Entities (AMORE) - CLOSED
ERC Starting Grant (2017-2023). AMORE builds a distributed (neural network) version of a formal semantic framework that aims at integrating linguistic and perceptual information about entities.

Linguistic Inference Following Evolution (LIFE)
Marie Skłodowska-Curie grant (2023 - 2025). LIFE seeks to find the conditions for the emergence of an open-ended evolutionary process and its applications to artificial intelligence problems. In particular, it will focus on tackling complex...