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Tim Verbelen

Showing results (11-20 of 22) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|May 22, 2021
Robot navigation as hierarchical active inferenceOzan Çatal, Tim Verbelen, Toon Van de Maele, et al.
Sensors (Basel, Switzerland)|October 14, 2022
Computational Optimization of Image-Based Reinforcement Learning for RoboticsStefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, 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.
Frontiers in Neurorobotics|March 22, 2021
Active Vision for Robot Manipulators Using the Free Energy PrincipleToon Van de Maele, Tim Verbelen, Ozan Çatal, et al.
Experimental Dermatology|August 3, 2023
Dermatologist versus artificial intelligence confidence in dermoscopy diagnosis: Complementary information that may affect decision-makingPieter Van Molle, Sofie Mylle, Tim Verbelen, et al.
Sensors (Basel, Switzerland)|October 13, 2021
Data-Efficient Sensor Upgrade Path Using Knowledge DistillationPieter Van Molle, Cedric De Boom, Tim Verbelen, et al.
Journal of the American Academy of Dermatology|March 11, 2022
The value of measuring uncertainty in neural networks in dermoscopyPieter Van Molle, Lieve Brochez, Tim Verbelen, et al.
Frontiers in Network Physiology|July 3, 2025
From pixels to planning: scale-free active inferenceKarl Friston, Conor Heins, Tim Verbelen, et al.
Entropy (Basel, Switzerland)|September 27, 2025
Gradient-Free De Novo LearningKarl Friston, Thomas Parr, Conor Heins, et al.
Neuroscience and Biobehavioral Reviews|December 6, 2023
Federated inference and belief sharingKarl J Friston, Thomas Parr, Conor Heins, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Neural Networks : the Official Journal of the International Neural Network Society|May 22, 2021
Robot navigation as hierarchical active inferenceOzan Çatal, Tim Verbelen, Toon Van de Maele, et al.
Sensors (Basel, Switzerland)|October 14, 2022
Computational Optimization of Image-Based Reinforcement Learning for RoboticsStefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, 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.
Frontiers in Neurorobotics|March 22, 2021
Active Vision for Robot Manipulators Using the Free Energy PrincipleToon Van de Maele, Tim Verbelen, Ozan Çatal, et al.
Experimental Dermatology|August 3, 2023
Dermatologist versus artificial intelligence confidence in dermoscopy diagnosis: Complementary information that may affect decision-makingPieter Van Molle, Sofie Mylle, Tim Verbelen, et al.
Sensors (Basel, Switzerland)|October 13, 2021
Data-Efficient Sensor Upgrade Path Using Knowledge DistillationPieter Van Molle, Cedric De Boom, Tim Verbelen, et al.
Journal of the American Academy of Dermatology|March 11, 2022
The value of measuring uncertainty in neural networks in dermoscopyPieter Van Molle, Lieve Brochez, Tim Verbelen, et al.
Frontiers in Network Physiology|July 3, 2025
From pixels to planning: scale-free active inferenceKarl Friston, Conor Heins, Tim Verbelen, et al.
Entropy (Basel, Switzerland)|September 27, 2025
Gradient-Free De Novo LearningKarl Friston, Thomas Parr, Conor Heins, et al.
Neuroscience and Biobehavioral Reviews|December 6, 2023
Federated inference and belief sharingKarl J Friston, Thomas Parr, Conor Heins, et al.
Pageof 3