Search Results for author: Alejandro F. Queiruga

Found 2 papers, 1 papers with code

Learning continuous models for continuous physics

no code implementations17 Feb 2022 Aditi S. Krishnapriyan, Alejandro F. Queiruga, N. Benjamin Erichson, Michael W. Mahoney

A core issue with this approach is that ML models are typically trained on discrete data, using ML methodologies that are not aware of underlying continuity properties, which results in models that often do not capture the underlying continuous dynamics of a system of interest.

Continuous-in-Depth Neural Networks

4 code implementations5 Aug 2020 Alejandro F. Queiruga, N. Benjamin Erichson, Dane Taylor, Michael W. Mahoney

We first show that ResNets fail to be meaningful dynamical integrators in this richer sense.

Numerical Integration

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