Search Results for author:
Found 6 papers, 1 papers with code
Investigating GANsformer: A Replication Study of a State-of-the-Art Image Generation Model
In our work, we reproduce and evaluate a novel variation of the original GAN network, the GANformer, proposed in "Generative Adversarial Transformers" by Hudson and Zitnick.
Simulation of robot swarms for learning communication-aware coordination
These methods learn a controller by observing demonstrations of an expert, such as the behaviour of a centralised omniscient controller, which can perceive the entire environment, including the state and observations of all agents.
Neural networks for learning personality traits from natural language
In this way, we construct an embedding that contains the semantic information on the text, obtaining a kind of "geometry of meaning" in which concepts are translated into linear relationships.
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach
Automatic assessment of learner competencies is a fundamental task in intelligent tutoring systems.
Learning Relative Interactions through Imitation
In this project we trained a neural network to perform specific interactions between a robot and objects in the environment, through imitation learning.
A New Score for Adaptive Tests in Bayesian and Credal Networks
Graphical models, such as Bayesian networks, are used for adaptive tests as they allow to model the uncertainty about the questions and the skills in an explainable fashion, especially when coping with multiple skills.
