2 citations · 4 across the 3 of their papers we have counts for
3 papers
q-fin.PM2024
Uncertainty Quantification in Portfolio Temperature Alignment
Hendrik Weichel, Aleksandr Zinovev, Heikki Haario +1
We present a novel Bayesian framework for quantifying uncertainty in portfolio temperature alignment models, leveraging the X-Degree Compatibility (XDC) approach with the scientifi…
math.OC2023★ 2 cited
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
Simon Martin, Francis Bach, Giulio Biroli
We study the training dynamics of a shallow neural network with quadratic activation functions and quadratic cost in a teacher-student setup. In line with previous works on the sam…
math.AP2014★ 2 cited
Probabilistic interpretation of electrical impedance tomography
Petteri Piiroinen, Martin Simon
In this paper, we give probabilistic interpretations of both, the forward and the inverse problem of electrical impedance tomography with possibly anisotropic, merely measurable co…