Samuel Wauthier

According to our database, Samuel Wauthier authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Planning with tensor networks based on active inference.

Samuel T. Wauthier, Tim Verbelen, Bart Dhoedt, Bram Vanhecke

Mach. Learn. Sci. Technol., 2024

2022

Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference.

Samuel T. Wauthier, Cedric De Boom, Ozan Çatal, Tim Verbelen, Bart Dhoedt

Frontiers Neurorobotics, 2022

Learning Generative Models for Active Inference Using Tensor Networks.

Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - Third International Workshop, 2022

2021

A learning gap between neuroscience and reinforcement learning.

Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt

CoRR, 2021

Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization.

Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Learning Generative State Space Models for Active Inference.

Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt

Frontiers Comput. Neurosci., 2020

Dynamic Narrowing of VAE Bottlenecks Using GECO and L₀ Regularization.

Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt

CoRR, 2020

Deep Active Inference for Autonomous Robot Navigation.

Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt

CoRR, 2020

Sleep: Model Reduction in Deep Active Inference.

Samuel T. Wauthier, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - First International Workshop, 2020