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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
View this poster

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Published March 1, 2021

System Identification by Koopman Operators: Quantitative Analysis

• Christophe Zhang, Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg System Identification by Koopman Operators: Quantitative Analysis View this poster

Published March 1, 2021

Long Time Control

• Dario Pighin, UAM | DeustoCCM • Enrique Zuazua, Friedrich-Alexander-Universität Erlangen–Nürnberg Long Time Control View this poster

Published March 1, 2021

Parabolic Problems Arising in Real-World Applications

• Hannes Meinlschmidt, Friedrich-Alexander-Universität Erlangen–Nürnberg • Joachim Rehber, Weierstrass Institute Parabolic Problems Arising in Real-World Applications View this poster

Published March 1, 2021

The Stochastic FHN Neuron Model in the Excitable Regime Possesses a Global Random Pullback Attractor

• Marius Yamakou, Friedrich-Alexander-Universität Erlangen–Nürnberg The Stochastic FHN Neuron Model in the Excitable Regime Possesses a Global Random Pullback Attractor View this […]

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