Bertalan, T.

Authored

(106c) Inverse Backward Analysis of Neural Approximants of Ordinary Differential Equations
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(350b) Some of the Variables, Some of the Times, with Some Things Known: Identification with Partial Information
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(688g) Tipping Point Dynamics for Epidemiological Networks. Constructing Reduced Dynamical Data-Driven Models for Evolving Graphs
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(298c) Quantifying the Invertibility of Neural Networks and Their Transformations
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(542c) A Data-Driven Approach to Determining Problem Well-Posedness
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(298e) Manifold Learning Post-Processing Galerkin Algorithms for Dissipative PDEs on Their Approximate Inertial Manifolds
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(303a) Data-Driven Development of Approximate Inertial Forms and Closures for Coarse-Scale Modeling of Multiphase Flows
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(246c) Pathologies of Neural Networks As Models of Discrete-Time Dynamical Systems
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(287d) Coarse-Grained Dynamics for Epidemics on Adaptive Networks
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

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