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Samuel Wauthier
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2020 – today
- 2024
- [j3]Samuel T. Wauthier, Tim Verbelen, Bart Dhoedt, Bram Vanhecke:
Planning with tensor networks based on active inference. Mach. Learn. Sci. Technol. 5(4): 45012 (2024) - 2022
- [j2]Samuel T. Wauthier, Cedric De Boom, Ozan Çatal, Tim Verbelen, Bart Dhoedt:
Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference. Frontiers Neurorobotics 16: 795846 (2022) - [c3]Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt:
Learning Generative Models for Active Inference Using Tensor Networks. IWAI 2022: 285-297 - [i4]Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt:
Learning Generative Models for Active Inference using Tensor Networks. CoRR abs/2208.08713 (2022) - 2021
- [c2]Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt:
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. IJCNN 2021: 1-8 - [i3]Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
A learning gap between neuroscience and reinforcement learning. CoRR abs/2104.10995 (2021) - 2020
- [j1]Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
Learning Generative State Space Models for Active Inference. Frontiers Comput. Neurosci. 14: 574372 (2020) - [c1]Samuel T. Wauthier, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
Sleep: Model Reduction in Deep Active Inference. IWAI 2020: 72-83 - [i2]Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt:
Deep Active Inference for Autonomous Robot Navigation. CoRR abs/2003.03220 (2020) - [i1]Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt:
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. CoRR abs/2003.10901 (2020)
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