3 papers
cs.LG2026
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…
cs.LG2026
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…
cs.IR2026
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…