19 citations · 51 across the 10 of their papers we have counts for
11 papers
Fusion-CAM: Integrating Gradient and Region-Based Class Activation Maps for Robust Visual Explanations
Hajar Dekdegue, Moncef Garouani, Josiane Mothe +1
Interpreting the decision-making process of deep convolutional neural networks remains a central challenge in achieving trustworthy and transparent artificial intelligence. Explain…
Revisiting the Universal Texture Zero of Flavour: a Markov Chain Monte Carlo Analysis
Jordan Bernigaud, Ivo de Medeiros Varzielas, Miguel Levy +1
We revisit the phenomenological predictions of the Universal Texture Zero (UTZ) model of flavour originally presented in arXiv:1710.01741, and update them in light of both improved…
LHC Signatures of -Flavoured Vector Leptoquarks
Jordan Bernigaud, Monika Blanke, Ivo de Medeiros Varzielas +2
We consider the phenomenological signatures of Simplified Models of Flavourful Leptoquarks, whose Beyond-the-Standard Model (SM) couplings to fermion generations occur via textures…
Data-driven analysis of a SUSY GUT of flavour
Jordan Bernigaud, Adam K. Forster, Björn Herrmann +3
We present a data-driven analysis of a concrete Supersymmetric (SUSY) Grand Unified Theory (GUT) of flavour, based on , which predicts charged fermion and neutrino…
Dark matter and lepton flavour phenomenology in a singlet-doublet scotogenic model
Maud Sarazin, Jordan Bernigaud, Björn Herrmann
We study the dark matter phenomenology of scotogenic frameworks through a rather illustrative model extending the Standard Model by scalar and fermionic singlets and doublets. Such…
Reconstructing Effective Lagrangians Embedding Residual Family Symmetries
Jordan Bernigaud, Ivo de Medeiros Varzielas, Jim Talbert
We consider effective Lagrangians which, after electroweak- and family-symmetry breaking, yield fermionic mass matrices and/or other flavoured couplings exhibiting residual family…