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Researcher
Samuel Wauthier
Profile
Projects
Publications
Activities
Awards & Distinctions
9
Results
2024
Planning with tensor networks based on active inference
Samuel Wauthier
Tim Verbelen
Bart Dhoedt
Bram Vanhecke
A1
Journal Article
in
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
2024
2023
Learning generative models for active inference using tensor networks
Samuel Wauthier
Bram Vanhecke
Tim Verbelen
Bart Dhoedt
P1
Conference
2023
2022
Model reduction through progressive latent space pruning in deep active inference
Samuel Wauthier
Cedric De Boom
Ozan Catal
Tim Verbelen
Bart Dhoedt
A1
Journal Article
in
FRONTIERS IN NEUROROBOTICS
2022
Tensor networks for active inference with discrete observation spaces
Samuel Wauthier
Bram Vanhecke
Tim Verbelen
Bart Dhoedt
C1
Conference
2022
2021
A learning gap between neuroscience and reinforcement learning
Samuel Wauthier
Pietro Mazzaglia
Ozan Catal
Cedric De Boom
Tim Verbelen
Bart Dhoedt
C1
Conference
2021
Dynamic narrowing of VAE bottlenecks using GECO and L0 regularization
Cedric De Boom
Samuel Wauthier
Tim Verbelen
Bart Dhoedt
P1
Conference
2021
2020
Deep active inference for autonomous robot navigation
Ozan Catal
Samuel Wauthier
Tim Verbelen
Cedric De Boom
Bart Dhoedt
C1
Conference
2020
Learning generative state space models for active inference
Ozan Catal
Samuel Wauthier
Cedric De Boom
Tim Verbelen
Bart Dhoedt
A1
Journal Article
in
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
2020
Sleep : model reduction in deep active inference
Samuel Wauthier
Ozan Catal
Cedric De Boom
Tim Verbelen
Bart Dhoedt
C1
Conference
2020