3 papers
cs.LG2026
Native Hierarchical and Compositional Representations with Subspace Embeddings
Gabriel Moreira, Zita Marinho, Manuel Marques +2
Traditional embeddings represent datapoints as vectors, which makes similarity easy to compute but limits how well they capture hierarchies and compositionality. We propose a funda…
cs.LG2026
Spectral Guidance for Flexible and Efficient Control of Diffusion Models
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
We introduce Spectral Guidance, a framework for controlling diffusion models by leveraging the intrinsic geometry of the generative process. As data is progressively corrupted by n…
cs.CV2025
Learning Visual-Semantic Subspace Representations
Gabriel Moreira, Manuel Marques, João Paulo Costeira +1
Learning image representations that capture rich semantic relationships remains a significant challenge. Existing approaches are either contrastive, lacking robust theoretical guar…