Louis Annabi

Orcid: 0000-0002-8645-0875

According to our database1, Louis Annabi authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Analyzing Data Efficiency and Performance of Machine Learning Algorithms for Assessing Low Back Pain Physical Rehabilitation Exercises.
CoRR, 2024

Unsupervised Motion Retargeting for Human-Robot Imitation.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Prerequisite Structure Discovery in Intelligent Tutoring Systems.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Analyzing Data Efficiency and Performance of Machine Learning Algorithms for Assessing Low Back Pain Physical Rehabilitation Exercises.
Proceedings of the European Conference on Mobile Robots, 2023

2022
Continual Sequence Modeling With Predictive Coding.
Frontiers Neurorobotics, 2022

Intrinsically Motivated Learning of Causal World Models.
CoRR, 2022

On the relationship between variational inference and auto-associative memory.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Designing recurrent neural architectures for prediction, inference and learning in a long-term memory of sequences using predictive coding. (Modèles neurocomputationnels pour la prédiction, l'inférence et l'apprentissage au sein d'un mémoire à long-terme de séquences se basant sur le codage prédictif).
PhD thesis, 2021

Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference.
Neural Networks, 2021

A Predictive Coding Account for Chaotic Itinerancy.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Autonomous learning and chaining of motor primitives using the Free Energy Principle.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018
State representation learning with recurrent capsule networks.
CoRR, 2018

Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning.
CoRR, 2018


  Loading...