1 code implementation • 30 Aug 2023 • Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin, Thomas Scanlon
The parameter identifiability problem for a dynamical system is to determine whether the parameters of the system can be found from data for the outputs of the system.
no code implementations • 25 Jan 2023 • David Chiang, Peter Cholak, Anand Pillay
Characterizing neural networks in terms of better-understood formal systems has the potential to yield new insights into the power and limitations of these networks.
2 code implementations • 16 Apr 2020 • Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin, Thomas Scanlon
Parameter identifiability is a structural property of an ODE model for recovering the values of parameters from the data (i. e., from the input and output variables).
