10 citations · 17 across the 4 of their papers we have counts for
5 papers
How is model-related uncertainty quantified and reported in different disciplines?
Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen +40
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the only way we can answer how much we know about any phenomenon. With quantitative s…
Restricted Boltzmann Machines as Models of Interacting Variables
Nicola Bulso, Yasser Roudi
We study the type of distributions that Restricted Boltzmann Machines (RBMs) with different activation functions can express by investigating the effect of the activation function…
On the complexity of logistic regression models
Nicola Bulso, Matteo Marsili, Yasser Roudi
We investigate the complexity of logistic regression models which is defined by counting the number of indistinguishable distributions that the model can represent (Balasubramanian…
Sparse model selection in the highly under-sampled regime
Nicola Bulso, Matteo Marsili, Yasser Roudi
We propose a method for recovering the structure of a sparse undirected graphical model when very few samples are available. The method decides about the presence or absence of bon…
Effective dissipation and nonlocality induced by nonparaxiality
Nicola Bulso, Claudio Conti
We investigate beam diffraction and spatial modulation instability of coherent light beams propagating in the non-paraxial regime in a nonlinear Kerr medium. We study the instabili…