A machine learning approach to quantify individual gait responses to ankle exoskeletons von Ebers, Megan R., Rosenberg, Michael C., Kutz, J. Nathan, Steele, Katherine M.

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Leveraging Arbitrary Mobile Sensor Trajectories With Shallow Recurrent Decoder Networks for Full-State Reconstruction von Ebers, Megan R., Williams, Jan P., Steele, Katherine M., Nathan Kutz, J.

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Discrepancy Modeling Framework: Learning Missing Physics, Modeling Systematic Residuals, and Disambiguating between Deterministic and Random Effects von Ebers, Megan R., Steele, Katherine M., Kutz, J. Nathan

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Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects von Ebers, Megan R, Steele, Katherine M, Kutz, J. Nathan

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Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction von Ebers, Megan R, Williams, Jan P, Steele, Katherine M, Kutz, J. Nathan

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Universal Dynamics of Damped-Driven Systems: The Logistic Map as a Normal Form for Energy Balance von Kutz, J. Nathan, Rahman, Aminur, Ebers, Megan R, Koch, James, Bramburger, Jason J

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Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects von Ebers, Megan R, Steele, Katherine M, Kutz, J Nathan

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Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction von Ebers, Megan R, Williams, Jan P, Steele, Katherine M, Kutz, J Nathan

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Universal Dynamics of Damped-Driven Systems: The Logistic Map as a Normal Form for Energy Balance von Kutz, J Nathan, Rahman, Aminur, Ebers, Megan R, Koch, James, Bramburger, Jason J

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