1 citations · 1 across the 5 of their papers we have counts for
5 papers
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi +5
Healthcare data is often split into medium/small-sized collections across multiple hospitals and access to it is encumbered by privacy regulations. This brings difficulties to use…
Tackling the dimensions in imaging genetics with CLUB-PLS
Andre Altmann, Ana C Lawry Aguila, Neda Jahanshad +2
A major challenge in imaging genetics and similar fields is to link high-dimensional data in one domain, e.g., genetic data, to high dimensional data in a second domain, e.g., brai…
On Tail Decay Rate Estimation of Loss Function Distributions
Etrit Haxholli, Marco Lorenzi
The study of loss function distributions is critical to characterize a model's behaviour on a given machine learning problem. For example, while the quality of a model is commonly…
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows
Etrit Haxholli, Marco Lorenzi
While the neural ODE formulation of normalizing flows such as in FFJORD enables us to calculate the determinants of free form Jacobians in O(D) time, the flexibility of the transfo…
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching
Etrit Haxholli, Marco Lorenzi
In Diffusion Probabilistic Models (DPMs), the task of modeling the score evolution via a single time-dependent neural network necessitates extended training periods and may potenti…