2 papers
cs.RO2026
Bilinear World Models: Learning Representations with Structured Dynamics for Efficient Control
Antonio Pariente, Ignacio Boero, Nikolai Matni +1
World models jointly learn latent representations and dynamics that predict how high-dimensional observations evolve under actions. In this work, we propose a JEPA-style world mode…
cs.IR2025
Infinity Search: Approximate Vector Search with Projections on q-Metric Spaces
Antonio Pariente, Ignacio Hounie, Santiago Segarra +1
An ultrametric space or infinity-metric space is defined by a dissimilarity function that satisfies a strong triangle inequality in which every side of a triangle is not larger tha…