Sleep: Model Reduction in Deep Active Inference. - Samuel T. Wauthier; Ozan Çatal; Cedric De Boom; Tim Verbelen; Bart Dhoedt (IWAI, 2020)

Deep Active Inference for Autonomous Robot Navigation. - Ozan Çatal; Samuel Wauthier; Tim Verbelen; Cedric De Boom; Bart Dhoedt (CoRR, 2020)

Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. - Cedric De Boom; Samuel Wauthier; Tim Verbelen; Bart Dhoedt (CoRR, 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 (IJCNN, 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)

Learning Generative Models for Active Inference Using Tensor Networks. - Samuel T. Wauthier; Bram Vanhecke; Tim Verbelen; Bart Dhoedt (IWAI, 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)

Planning with tensor networks based on active inference. - Samuel T. Wauthier; Tim Verbelen; Bart Dhoedt; Bram Vanhecke (Mach. Learn. Sci. Technol., 2024)