6 citations · 8 across the 3 of their papers we have counts for
4 papers
World Machine: Towards Generative World Modeling for Time-Series
Elton Cardoso do Nascimento, Alexandre da Silva Simões, Esther Luna Colombini +2
World models represent a paradigm shift in generative AI, pursuing predictive understanding and controllable simulation of environments in a structured and generalizable way. We pr…
Binarized Neural Networks Converge Toward Algorithmic Simplicity: Empirical Support for the Learning-as-Compression Hypothesis
Eduardo Y. Sakabe, Felipe S. Abrahão, Alexandre Simões +4
Understanding and controlling the informational complexity of neural networks is a central challenge in machine learning, with implications for generalization, optimization, and mo…
Incremental procedural and sensorimotor learning in cognitive humanoid robots
Leonardo de Lellis Rossi, Leticia Mara Berto, Eric Rohmer +4
The ability to automatically learn movements and behaviors of increasing complexity is a long-term goal in autonomous systems. Indeed, this is a very complex problem that involves…
Learning Goal-based Movement via Motivational-based Models in Cognitive Mobile Robots
Letícia Berto, Paula Costa, Alexandre Simões +2
Humans have needs motivating their behavior according to intensity and context. However, we also create preferences associated with each action's perceived pleasure, which is susce…