49 citations · 61 across the 8 of their papers we have counts for
9 papers
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image Analysis
Kévin Cortacero, Brienne McKenzie, Sabina Müller +14
An unresolved issue in contemporary biomedicine is the overwhelming number and diversity of complex images that require annotation, analysis and interpretation. Recent advances in…
On Neural Consolidation for Transfer in Reinforcement Learning
Valentin Guillet, Dennis G. Wilson, Carlos Aguilar-Melchor +1
Although transfer learning is considered to be a milestone in deep reinforcement learning, the mechanisms behind it are still poorly understood. In particular, predicting if knowle…
Equivariance-aware Architectural Optimization of Neural Networks
Kaitlin Maile, Dennis G. Wilson, Patrick Forré
Incorporating equivariance to symmetry groups as a constraint during neural network training can improve performance and generalization for tasks exhibiting those symmetries, but s…
When, where, and how to add new neurons to ANNs
Kaitlin Maile, Emmanuel Rachelson, Hervé Luga +1
Neurogenesis in ANNs is an understudied and difficult problem, even compared to other forms of structural learning like pruning. By decomposing it into triggers and initializations…
DARTS-PRIME: Regularization and Scheduling Improve Constrained Optimization in Differentiable NAS
Kaitlin Maile, Erwan Lecarpentier, Hervé Luga +1
Differentiable Architecture Search (DARTS) is a recent neural architecture search (NAS) method based on a differentiable relaxation. Due to its success, numerous variants analyzing…
Neuromodulated Learning in Deep Neural Networks
Dennis G Wilson, Sylvain Cussat-Blanc, Hervé Luga +1
In the brain, learning signals change over time and synaptic location, and are applied based on the learning history at the synapse, in the complex process of neuromodulation. Lear…
Positional Cartesian Genetic Programming
DG Wilson, Julian F. Miller, Sylvain Cussat-Blanc +1
Cartesian Genetic Programming (CGP) has many modifications across a variety of implementations, such as recursive connections and node weights. Alternative genetic operators have a…
Evolving Differentiable Gene Regulatory Networks
Dennis G Wilson, Kyle Harrington, Sylvain Cussat-Blanc +1
Over the past twenty years, artificial Gene Regulatory Networks (GRNs) have shown their capacity to solve real-world problems in various domains such as agent control, signal proce…
Evolving simple programs for playing Atari games
Dennis G Wilson, Sylvain Cussat-Blanc, Hervé Luga +1
Cartesian Genetic Programming (CGP) has previously shown capabilities in image processing tasks by evolving programs with a function set specialized for computer vision. A similar…