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Optimising Neural Fractional Differential Equations for Performance and Efficiency

Bernd Zimmering, Cecília Coelho, Oliver Niggemann; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-22

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Neural-based models ensemble for identification of the vibrating beam system

Krzysztof Patan, Maciej Patan, Piotr Balik; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-13

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Time and State Dependent Neural Delay Differential Equations

Thibault Monsel, Onofrio Semeraro, Lionel Mathelin, Guillaume Charpiat; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-20

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Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler

Cédric Goemaere, Johannes Deleu, Thomas Demeester; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-21

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A Neural Ordinary Differential Equations Approach for 2D Flow Properties Analysis of Hydraulic Structures

Sebastian Eilermann, Lisa Lüddecke, Michael Hohmann, Bernd Zimmering, Mario Oertel, Oliver Niggemann; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-17

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PINNtegrate: PINN-based Integral-Learning for Variational and Interface Problems

Frank Ehebrecht, Toni Scharle, Martin Atzmueller; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-16

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What happens to diffusion model likelihood when your model is conditional?

Mattias Cross, Anton Ragni; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-14

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Optimal Control of a Coastal Ecosystem Through Neural Ordinary Differential Equations

Cecília Coelho, Fernanda Costa, Luís Ferrás; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-9

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EMILY: Extracting sparse Model from ImpLicit dYnamics

Ayan Banerjee, Sandeep Gupta; Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-11

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