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Bart Dhoedt

Showing results (1-10 of 23) with videos related to

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Frontiers in Computational Neuroscience|December 26, 2024
Learning dynamic cognitive map with autonomous navigationDaria de Tinguy, Tim Verbelen, Bart Dhoedt
Entropy (Basel, Switzerland)|February 25, 2022
The Free Energy Principle for Perception and Action: A Deep Learning PerspectivePietro Mazzaglia, Tim Verbelen, Ozan Çatal, et al.
Frontiers in Neurorobotics|May 15, 2025
FOCUS: object-centric world models for robotic manipulationStefano Ferraro, Pietro Mazzaglia, Tim Verbelen, et al.
Nature Communications|November 14, 2024
A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuitToon Van de Maele, Bart Dhoedt, Tim Verbelen, et al.
Frontiers in Neurorobotics|May 2, 2022
Embodied Object Representation Learning and RecognitionToon Van de Maele, Tim Verbelen, Ozan Çatal, et al.
Interface Focus|April 17, 2023
Symmetry and complexity in object-centric deep active inference modelsStefano Ferraro, Toon Van de Maele, Tim Verbelen, et al.
Entropy (Basel, Switzerland)|January 22, 2024
Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid EnvironmentDaria de Tinguy, Toon Van de Maele, Tim Verbelen, et al.
Frontiers in Computational Neuroscience|December 11, 2020
Learning Generative State Space Models for Active InferenceOzan Çatal, Samuel Wauthier, Cedric De Boom, et al.
Frontiers in Neurorobotics|April 1, 2022
Model Reduction Through Progressive Latent Space Pruning in Deep Active InferenceSamuel T Wauthier, Cedric De Boom, Ozan Çatal, et al.
Neural Computation|March 8, 2024
Object-Centric Scene Representations Using Active InferenceToon Van de Maele, Tim Verbelen, Pietro Mazzaglia, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Frontiers in Computational Neuroscience|December 26, 2024
Learning dynamic cognitive map with autonomous navigationDaria de Tinguy, Tim Verbelen, Bart Dhoedt
Entropy (Basel, Switzerland)|February 25, 2022
The Free Energy Principle for Perception and Action: A Deep Learning PerspectivePietro Mazzaglia, Tim Verbelen, Ozan Çatal, et al.
Frontiers in Neurorobotics|May 15, 2025
FOCUS: object-centric world models for robotic manipulationStefano Ferraro, Pietro Mazzaglia, Tim Verbelen, et al.
Nature Communications|November 14, 2024
A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuitToon Van de Maele, Bart Dhoedt, Tim Verbelen, et al.
Frontiers in Neurorobotics|May 2, 2022
Embodied Object Representation Learning and RecognitionToon Van de Maele, Tim Verbelen, Ozan Çatal, et al.
Interface Focus|April 17, 2023
Symmetry and complexity in object-centric deep active inference modelsStefano Ferraro, Toon Van de Maele, Tim Verbelen, et al.
Entropy (Basel, Switzerland)|January 22, 2024
Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid EnvironmentDaria de Tinguy, Toon Van de Maele, Tim Verbelen, et al.
Frontiers in Computational Neuroscience|December 11, 2020
Learning Generative State Space Models for Active InferenceOzan Çatal, Samuel Wauthier, Cedric De Boom, et al.
Frontiers in Neurorobotics|April 1, 2022
Model Reduction Through Progressive Latent Space Pruning in Deep Active InferenceSamuel T Wauthier, Cedric De Boom, Ozan Çatal, et al.
Neural Computation|March 8, 2024
Object-Centric Scene Representations Using Active InferenceToon Van de Maele, Tim Verbelen, Pietro Mazzaglia, et al.
Pageof 3