A Principal Component Analysis Approach for Embedding Local Symmetries into Deep Learning Algorithms. - Pierre-Yves Lagrave (SAFECOMP Workshops, 2020)

Toward Geometrical Robustness with Hybrid Deep Learning and Differential Invariants Theory. - Pierre-Yves Lagrave; Mathieu Riou (AAAI Spring Symposium: MLPS, 2021)

${{ , textrm{SL} ,}}(2, mathbb {Z})$-Equivariant Machine Learning with Modular Forms Theory and Applications. - Pierre-Yves Lagrave (GSI (2), 2021)

${{ , mathrm{SU} , }}(1, 1)$ Equivariant Neural Networks and Application to Robust Toeplitz Hermitian Positive Definite Matrix Classification. - Pierre-Yves Lagrave; Yann Cabanes; Frédéric Barbaresco (GSI, 2021)