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#machine learning Preprint Nov 2026

Structured Machine Theory of Mind from Agent Trajectories

This work introduces Structured Machine Theory of Mind (SMToM), a framework that attributes explicit, independently supervised belief and desire representations from observed trajectories within a Belief-Desire-Intention causal structure, and demonstrates, in a controlled navigation setting, that explicit BDI-structure...

N. Doering, Rahath Malladi, Arshia Sangwan et al. · 0 citations
Open access Sep 2026

Message in a Bottleneck: Interpretable Deep Learning for Dynamic Effective Brain Connectivity.

A novel approach for deep extraction of causally informed features via restricted architecture (DECIFRA), designed for multivariate time series modeling that captures functionally grounded brain connectivity patterns, with certain dynamics associated with age or schizophrenia classification tasks and others consistentl...

P. Popov, Cristian Morasso, Giorgio Dolci et al. · 0 citations

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