Connection
Co-Authors
This is a "connection" page, showing publications co-authored by David Bortz and Daniel Messenger.
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4.344 |
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Messenger DA, Burby JW, Bortz DM. Coarse-graining Hamiltonian systems using WSINDy. Sci Rep. 2024 Jun 24; 14(1):14457.
Score: 0.884
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Messenger DA, Dall'anese E, Bortz DM. Online Weak-form Sparse Identification of Partial Differential Equations. Proc Mach Learn Res. 2022 Aug; 190:241-256.
Score: 0.775
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Messenger DA, Bortz DM. Learning mean-field equations from particle data using WSINDy. Physica D. 2022 Nov; 439.
Score: 0.769
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Messenger DA, Bortz DM. WEAK SINDy: GALERKIN-BASED DATA-DRIVEN MODEL SELECTION. Multiscale Model Simul. 2021; 19(3):1474-1497.
Score: 0.728
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Messenger DA, Bortz DM. WEAK SINDY FOR PARTIAL DIFFERENTIAL EQUATIONS. J Comput Phys. 2021 Oct 15; 443.
Score: 0.718
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Bortz DM, Messenger DA, Dukic V. Direct Estimation of Parameters in ODE Models Using WENDy: Weak-Form Estimation of Nonlinear Dynamics. Bull Math Biol. 2023 10 05; 85(11):110.
Score: 0.210
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Bortz DM, Messenger DA, Dukic V. Direct Estimation of Parameters in ODE Models Using WENDy: Weak-form Estimation of Nonlinear Dynamics. ArXiv. 2023 Apr 08.
Score: 0.203
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Russo BP, Messenger DA, Bortz D, Rosenfeld JA. Weighted Composition Operators for Learning Nonlinear Dynamics. IFAC Pap OnLine. 2024; 58(17):97-102.
Score: 0.057