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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Daniel Messenger and David Bortz.

 
Connection Strength
 
 
 
3.779
 
  1. 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.
    View in: PubMed
    Score: 0.861
  2. Messenger DA, Bortz DM. Learning mean-field equations from particle data using WSINDy. Physica D. 2022 Nov; 439.
    View in: PubMed
    Score: 0.853
  3. Messenger DA, Bortz DM. WEAK SINDy: GALERKIN-BASED DATA-DRIVEN MODEL SELECTION. Multiscale Model Simul. 2021; 19(3):1474-1497.
    View in: PubMed
    Score: 0.809
  4. Messenger DA, Bortz DM. WEAK SINDY FOR PARTIAL DIFFERENTIAL EQUATIONS. J Comput Phys. 2021 Oct 15; 443.
    View in: PubMed
    Score: 0.797
  5. 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.
    View in: PubMed
    Score: 0.233
  6. 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.
    View in: PubMed
    Score: 0.226
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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