33 citations · 35 across the 8 of their papers we have counts for
8 papers
Active sensing to characterize the heterogeneity of plant stress
Ayman Laaroussi, Peter Hanappe, David Colliaux
While most phenotyping platforms rely primarily on image-based measurements, advanced plant characterization requires the integration of active physiological sensing modali- ties s…
Implementation of reinforcement learning in chemical reaction networks: application to phototaxis as curiosity-driven exploration
Ruyi Tang, Grégoire Sergeant-Perthuis, David Colliaux
Living systems navigate environments using noisy and incomplete sensory signals. In unicellular algae, phototaxis is often modeled as a mechanistic run--tumble process driven by st…
Natural Gradient Descent for Online Continual Learning
Joe Khawand, David Colliaux
Online Continual Learning (OCL) for image classification represents a challenging subset of Continual Learning, focusing on classifying images from a stream without assuming data i…
Altar: Structuring Sharable Experimental Data from Early Exploration to Publication
William Gaultier, Andrea Lodetti, Ian Coghill +3
Managing the data and metadata during the active development phase of an experimental project presents a significant challenge, particularly in collaborative research. This phase i…
A random planting model
Julian Talbot, Pascal Viot, David Colliaux
The adoption of agroecological practices will be crucial to address the challenges of climate change and biodiversity loss. Such practices favor the cultivation of plants in comple…
Continual Learning with Deep Streaming Regularized Discriminant Analysis
Joe Khawand, Peter Hanappe, David Colliaux
Continual learning is increasingly sought after in real world machine learning applications, as it enables learning in a more human-like manner. Conventional machine learning appro…
Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces
Guido Schillaci, Antonio Pico Villalpando, Verena Vanessa Hafner +3
This work presents an architecture that generates curiosity-driven goal-directed exploration behaviours for an image sensor of a microfarming robot. A combination of deep neural ne…
Toward Biochemical Probabilistic Computation
Jacques Droulez, David Colliaux, Audrey Houillon +1
Living organisms survive and multiply even though they have uncertain and incomplete information about their environment and imperfect models to predict the consequences of their a…