45 citations · 77 across the 3 of their papers we have counts for
4 papers
Fundamental bounds on learning performance in neural circuits
Dhruva V Raman, Timothy O'Leary
How does the size of a neural circuit influence its learning performance? Intuitively, we expect the learning capacity of a neural circuit to grow with the number of neurons and sy…
The geometry of sloppiness
Emilie Dufresne, Heather A. Harrington, Dhruva V. Raman
The use of mathematical models in the sciences often involves the estimation of unknown parameter values from data. Sloppiness provides information about the uncertainty of this ta…
Delineating Parameter Unidentifiabilities in Complex Models
Dhruva V. Raman, James Anderson, Antonis Papachristodoulou
Scientists use mathematical modelling to understand and predict the properties of complex physical systems. In highly parameterised models there often exist relationships between p…
Bounds for Input- and State-to-Output Properties of Uncertain Linear Systems
Giorgio Valmorbida, Dhruva Raman, James Anderson
We consider the effect of parametric uncertainty on properties of Linear Time Invariant systems. Traditional approaches to this problem determine the worst-case gains of the system…