Author

João Pedro Silvestre

2 papers indexed here

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#machine learning Preprint Sep 2026

Preventing Model Collapse: A Fisher-Rao Perspective on the Dynamics of Training with Synthetic Data

It is shown that the effective required data ratio to prevent model collapse is different than previously implied, and quantitative contraction and invariance bounds that are stable and do not become trivial as the dimensions increase are derived.

Matteo Marchi, João Pedro Silvestre, Bahman Gharesifard et al. · 0 citations

#artificial intelligence Sep 2026

The Attention Within: Consensus Dynamics in Selective State Space Models

It is shown that the resemblance between SSMs and transformers does run deeper: the recurrence at the core of SSMs aggregates tokens just as attention does, and the evolution of tokens across layers as an ordinary differential equation.

João Pedro Silvestre, Álvaro Rodríguez Abella, Paulo Tabuada · arXiv.org · 1 citation