most citedSymmetry and Complexity in Object-Centric Deep Active Inference Models

7 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2024

Belief sharing: a blessing or a curse

Ozan Catal, Toon Van de Maele, Riddhi J. Pitliya +3

When collaborating with multiple parties, communicating relevant information is of utmost importance to efficiently completing the tasks at hand. Under active inference, communicat…

q-bio.NC2023

Neural representation in active inference: using generative models to interact with -- and understand -- the lived world

Giovanni Pezzulo, Leo D'Amato, Francesco Mannella +4

This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function. It delves into how living organisms employ…

cs.AI2023

Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze Environments

Daria de Tinguy, Toon Van de Maele, Tim Verbelen +1

Cognitive maps play a crucial role in facilitating flexible behaviour by representing spatial and conceptual relationships within an environment. The ability to learn and infer the…

cs.AI20233 cited

Integrating cognitive map learning and active inference for planning in ambiguous environments

Toon Van de Maele, Bart Dhoedt, Tim Verbelen +1

Living organisms need to acquire both cognitive maps for learning the structure of the world and planning mechanisms able to deal with the challenges of navigating ambiguous enviro…

cs.CV20237 cited

Symmetry and Complexity in Object-Centric Deep Active Inference Models

Stefano Ferraro, Toon Van de Maele, Tim Verbelen +1

Humans perceive and interact with hundreds of objects every day. In doing so, they need to employ mental models of these objects and often exploit symmetries in the object's shape…

cs.RO20231 cited

Object-Centric Scene Representations using Active Inference

Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia +2

Representing a scene and its constituent objects from raw sensory data is a core ability for enabling robots to interact with their environment. In this paper, we propose a novel a…