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Controllability of Neural ODEs for Classification

Published October 1, 2024

Event: CIN-PDE 2024

• Antonio Álvarez López, UAM. Autonomous University of Madrid
• Enrique Zuazua, FAU DCN-AvH/FAU MoD. Friedrich-Alexander-Universität Erlangen–Nürnberg

Controllability of Neural ODEs for Classification
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Nonlocal Conservation Laws (NLCL) – Modeling, Simulation and Optimal Control

• Alexander Keimer, UC Berkeley • Günter Leugering, Friedrich-Alexander-Universität Erlangen – Nürnberg • Lukas Pflug, Friedrich-Alexander-Universität Erlangen – Nürnberg • Doris Segets, […]

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Fedadmm-insa: an Inexact and Self-adaptive Admm for Federated Learning

Event: CIN-PDE 2024 • Yongcun Song, FAU DCN-AvH. Friedrich-Alexander-Universität Erlangen–Nürnberg • Ziqi Wang, FAU DCN-AvH. Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, FAU DCN-AvH/FAU […]

Published March 1, 2021

Nodal control and the Turnpike phenomenon

• Martin Gugat, Friedrich-Alexander-Universität Erlangen–Nürnberg • Rüdiger Schultz, Universität Duisburg-Essen • Michael Schuster, Friedrich-Alexander-Universität Erlangen–Nürnberg Nodal control and the Turnpike phenomenon View […]

Published March 1, 2021

Sharp Estimates in Defective Evolution Equations: From ODEs to Kinetic Equations with Uncertainties

• Tobias Wöhrer, Friedrich-Alexander-Universität Erlangen–Nürnberg • Anton Arnold, TU Vienna • Shi Jin, Shanghai Jiao Tong University Sharp Estimates in Defective Evolution […]

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