projects
Acquiring Complex Concepts with Comparative Learning
Learning to compose visual primitives with logical functions. Different techniques are tested, i.e. task hyper-networks and modular deep learning. Workshop paper presented at the 2024 CORE Workshop at Universitat Pompeu Fabra.
[paper]
Semantic comprehension in large language models and analogies with the human brain.
A seminar paper on mapping computational representations of language to brain activity, a comparison between representational spaces and questions on the intrinsic understanding of concepts.
[paper]
Referring Expression Comprehension as Scene Graph Grounding
Efficient object recognition with linguistic references using Graph Neural Networks and CLIP.
[code]