Author

A. Ribeiro

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Preprint Sep 2026

Bilinear World Models: Learning Representations with Structured Dynamics for Efficient Control

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 model in which, rather than learning arbitrary latent dynamics, we restrict them to follow a bilinear parameterization. This structure enables e...

Antonio Pariente, Ignacio Boero, Nikolai Matni et al. · 0 citations

Preprint Jul 2026

Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints

Fine-tuning language models often requires enforcing constraints on individual inputs without compromising downstream performance. Existing constrained alignment methods impose constraints on average, which can induce undesirable disparities across inputs or users. We propose a novel alignment framework that addresses...

Ignacio Hounie, Ignacio Boero, A. Ribeiro · 0 citations