Search Results for author: Genghis Khan

Found 3 papers, 1 papers with code

Data-based Discovery of Governing Equations

no code implementations5 Dec 2020 Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger Ghanem

Without a prior definition of the model structure, first a free-form of the equation is discovered, and then calibrated and validated against the available data.

Bayesian task embedding for few-shot Bayesian optimization

1 code implementation2 Jan 2020 Steven Atkinson, Sayan Ghosh, Natarajan Chennimalai-Kumar, Genghis Khan, Liping Wang

We describe a method for Bayesian optimization by which one may incorporate data from multiple systems whose quantitative interrelationships are unknown a priori.

Bayesian Inference

Data-driven discovery of free-form governing differential equations

no code implementations27 Sep 2019 Steven Atkinson, Waad Subber, Liping Wang, Genghis Khan, Philippe Hawi, Roger Ghanem

We present a method of discovering governing differential equations from data without the need to specify a priori the terms to appear in the equation.

Active Learning

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