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Samuel T. Wauthier
Samuel T. Wauthier
Other namesSamuel Wauthier
Verified email at ugent.be
Title
Cited by
Cited by
Year
Learning generative state space models for active inference
O Çatal, S Wauthier, C De Boom, T Verbelen, B Dhoedt
Frontiers in Computational Neuroscience 14, 574372, 2020
392020
Deep active inference for autonomous robot navigation
O Çatal, S Wauthier, T Verbelen, C De Boom, B Dhoedt
arXiv preprint arXiv:2003.03220, 2020
102020
Sleep: Model Reduction in Deep Active Inference
ST Wauthier, O Çatal, C De Boom, T Verbelen, B Dhoedt
Active Inference: First International Workshop, IWAI 2020, Co-located with …, 2020
82020
Learning generative models for active inference using tensor networks
ST Wauthier, B Vanhecke, T Verbelen, B Dhoedt
International Workshop on Active Inference, 285-297, 2022
52022
A learning gap between neuroscience and reinforcement learning
ST Wauthier, P Mazzaglia, O Catal, C De Boom, T Verbelen, B Dhoedt
arXiv preprint arXiv:2104.10995, 2021
42021
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization
C De Boom, S Wauthier, T Verbelen, B Dhoedt
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
32021
Description of coherent elastic neutrino-nucleus scattering cross sections
ST WAUTHIER
KU Leuven, Ghent University, 2017
12017
Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference
ST Wauthier, C De Boom, O Çatal, T Verbelen, B Dhoedt
Front. Neurorobot. 16 (795846), 2022
2022
Tensor networks for active inference with discrete observation spaces
S Wauthier, B Vanhecke, T Verbelen, B Dhoedt
Machine Learning and the Physical Sciences workshop, part of NeurIPS2022 …, 2022
2022
Co-activation patterns for the study of brain connectivity in multiple sclerosis patients
ST WAUTHIER
Ghent University, 2018
2018
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