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Joachim Bona-Pellissier

Parameter identifiability of a deep feedforward ReLU neural network
2023 · Joachim Bona-Pellissier, François Bachoc, et al. · Machine Learning · 18
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PIKS: Universal Physics-Informed Kernel Methods
2026 · Bona-Pellissier, Joachim, Meanti, Giacomo, et al. · arXiv (Cornell University) · 2
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Geometry-induced Regularization in Deep ReLU Neural Networks
2024 · Bona-Pellissier, Joachim, Malgouyres, François, et al. · arXiv (Cornell University) · 2
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Local Identifiability of Deep ReLU Neural Networks: the Theory
2022 · Bona-Pellissier, Joachim, Malgouyres, François, et al. · arXiv (Cornell University) · 2
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Fast Learning Rates for Physics-Informed Kernel Methods
2026 · Brogat-Motte, Luc, Bona-Pellissier, Joachim, et al. · arXiv (Cornell University) · 1
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On identifiability of deep ReLU neural networks
2023 · Joachim Bona-Pellissier · theses.fr (ABES)
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Local Identifiability of Deep ReLU Neural Networks: The Theory
2022 · Joachim Bona-Pellissier, François Malgouyres, et al. · neural information processing systems
Parameter identifiability of a deep feedforward ReLU neural network
2021 · Bona-Pellissier, Joachim, Bachoc, François, et al. · HAL
Works count: 8
Citation count: 25
H-index: 2
I10-index: 1
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