1 citations · 2 across the 2 of their papers we have counts for
3 papers
Domain Generalization via Gradient Surgery
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone +1
In real-life applications, machine learning models often face scenarios where there is a change in data distribution between training and test domains. When the aim is to make pred…
Asymptotic scaling properties of the posterior mean and variance in the Gaussian scale mixture model
Rodrigo Echeveste, Guillaume Hennequin, Máté Lengyel
The Gaussian scale mixture model (GSM) is a simple yet powerful probabilistic generative model of natural image patches. In line with the well-established idea that sensory process…
An objective function for self-limiting neural plasticity rules
Rodrigo Echeveste, Claudius Gros
Self-organization provides a framework for the study of systems in which complex patterns emerge from simple rules, without the guidance of external agents or fine tuning of parame…