18 citations · 25 across the 7 of their papers we have counts for
7 papers
Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments
Paul Foulquier, Ryma Haddad, Ali Mahmoud +4
Complex and high entropy alloys are attracting much attention currently thanks to their mechanical and corrosion resistance properties in harsh environments, in particular needed f…
DiffGuard: Text-Based Safety Checker for Diffusion Models
Massine El Khader, Elias Al Bouzidi, Abdellah Oumida +6
Recent advances in Diffusion Models have enabled the generation of images from text, with powerful closed-source models like DALL-E and Midjourney leading the way. However, open-so…
Causal discovery for time series with constraint-based model and PMIME measure
Antonin Arsac, Aurore Lomet, Jean-Philippe Poli
Causality defines the relationship between cause and effect. In multivariate time series field, this notion allows to characterize the links between several time series considering…
A New Approach for Explainable Multiple Organ Annotation with Few Data
Régis Pierrard, Jean-Philippe Poli, Céline Hudelot
Despite the recent successes of deep learning, such models are still far from some human abilities like learning from few examples, reasoning and explaining decisions. In this pape…
Sim-to-Real Domain Adaptation For High Energy Physics
Marouen Baalouch, Maxime Defurne, Jean-Philippe Poli +1
Particle physics or High Energy Physics (HEP) studies the elementary constituents of matter and their interactions with each other. Machine Learning (ML) has played an important ro…
Embedded Constrained Feature Construction for High-Energy Physics Data Classification
Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli +1
Before any publication, data analysis of high-energy physics experiments must be validated. This validation is granted only if a perfect understanding of the data and the analysis…
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne +1
A good feature representation is a determinant factor to achieve high performance for many machine learning algorithms in terms of classification. This is especially true for techn…