408 citations · 2.6k across the 52 of their papers we have counts for
4 papers · 1 filter
A model-based approach to meta-Reinforcement Learning: Transformers and tree search
Brieuc Pinon, Jean-Charles Delvenne, Raphaël Jungers
Meta-learning is a line of research that develops the ability to leverage past experiences to efficiently solve new learning problems. Meta-Reinforcement Learning (meta-RL) methods…
PAC-learning gains of Turing machines over circuits and neural networks
Brieuc Pinon, Raphaël Jungers, Jean-Charles Delvenne
A caveat to many applications of the current Deep Learning approach is the need for large-scale data. One improvement suggested by Kolmogorov Complexity results is to apply the min…
Multi-hop assortativities for networks classification
Leonardo Gutierrez Gomez, Jean-Charles Delvenne
Several social, medical, engineering and biological challenges rely on discovering the functionality of networks from their structure and node metadata, when it is available. For e…
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions
Michaël Fanuel, Antoine Aspeel, Jean-Charles Delvenne +1
In machine learning or statistics, it is often desirable to reduce the dimensionality of a sample of data points in a high dimensional space . This paper introduces a…