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Cristina Cipriani
Cristina Cipriani
在 ma.tum.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A measure theoretical approach to the mean-field maximum principle for training NeurODEs
B Bonnet, C Cipriani, M Fornasier, H Huang
Nonlinear Analysis 227, 113161, 2023
252023
Zero-inertia limit: from particle swarm optimization to consensus-based optimization
C Cipriani, H Huang, J Qiu
SIAM Journal on Mathematical Analysis 54 (3), 3091-3121, 2022
222022
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying neural networks
C Cipriani, M Fornasier, A Scagliotti
European Journal of Applied Mathematics, 1-43, 2024
32024
A minimax optimal control approach for robust neural ODEs
C Cipriani, A Scagliotti, T Wöhrer
2024 European Control Conference (ECC), 58-64, 2024
12024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
A Bonfanti, G Bruno, C Cipriani
arXiv preprint arXiv:2402.03864, 2024
12024
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