Author

Pierre-Yves Lagrave

Observed names: Lagrave Pierre-Yves, Lagrave, Pierre-Yves

Institution: Morgan Stanley (United States)

Observed institutions: Morgan Stanley (United States), Laboratoire Mécanique des Solides, Laboratoire de Physique des Interfaces et des Couches Minces, Thales (France)

ORCID: 0000-0002-5774-636X

Observed ORCID: 0000-0002-5774-636X

OpenAlex ID: A5066859319

Equivariant Neural Networks and Differential Invariants Theory for Solving Partial Differential Equations

2022 · Pierre-Yves Lagrave, Eliot Tron · International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt) · 5

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Introduction to Robust Machine Learning with Geometric Methods for Defense Applications

2021 · Lagrave, Pierre-Yves, Barbaresco, Frédéric · HAL · 3

An Equivariant Neural Network with Hyperbolic Embedding for Robust Doppler Signal Classification

2021 · Pierre-Yves Lagrave, Yann Cabanes, et al. · International Radar Symposium · 3

Hyperbolic Equivariant Convolutional Neural Networks for Fish-Eye Image Processing

2022 · Lagrave, Pierre-Yves, Barbaresco, Frédéric · HAL · 2

$${{\,\mathrm{SU}\,}}(1,1)$$ Equivariant Neural Networks and Application to Robust Toeplitz Hermitian Positive Definite Matrix Classification

2021 · Pierre-Yves Lagrave, Yann Cabanes, et al. · Lecture notes in computer science · 2

Adaptive Importance Sampling for Equivariant Group-Convolution Computation

2022 · Pierre-Yves Lagrave, Frédéric Barbaresco · International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt) · 1

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On the Benefits of SO(3)-Equivariant Neural Networks for Spherical Image Processing

2022 · Martin, Simon, Lagrave, Pierre-Yves · HAL · 1

Generalized SU(1,1) Equivariant Convolution on Fock-Bargmann Spaces for Robust Radar Doppler Signal Classification

2021 · Lagrave, Pierre-Yves, Barbaresco, Frédéric · HAL · 1

A Principal Component Analysis Approach for Embedding Local Symmetries into Deep Learning Algorithms

2020 · Pierre-Yves Lagrave · Lecture notes in computer science · 1

$${{\,\textrm{SL}\,}}(2,\mathbb {Z})$$-Equivariant Machine Learning with Modular Forms Theory and Applications

2023 · Pierre-Yves Lagrave · Lecture notes in computer science

Actes de la conférence CAID 2021 (Conference on Artificial Intelligence for Defense)

2021 · Dey, Alexandre, Costé, Benjamin, et al. · HAL

Toward Geometrical Robustness with Hybrid Deep Learning and Differential Invariants Theory.