5 papers
Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis
Muhammad Rizwan, David Nabergoj, Jure Demšar
Background: Depression frequently co-occurs with ADHD and autism spectrum disorder (ASD), but population-level differences in symptom expression between these groups remain underex…
A General Approach to Visualizing Uncertainty in Statistical Graphics
Bernarda Petek, David Nabergoj, Erik Å trumbelj
We present a general approach to visualizing uncertainty in static 2-D statistical graphics. If we treat a visualization as a function of its underlying quantities, uncertainty in…
Reducing normalizing flow complexity for MCMC preconditioning
David Nabergoj, Erik Å trumbelj
Preconditioning is a key component of MCMC algorithms that improves sampling efficiency by facilitating exploration of geometrically complex target distributions through an inverti…
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo
David Nabergoj, Erik Å trumbelj
Recent advances in MCMC use normalizing flows to precondition target distributions and enable jumps to distant regions. However, there is currently no systematic comparison of diff…
Control, Transport and Sampling: Towards Better Loss Design
Qijia Jiang, David Nabergoj
Leveraging connections between diffusion-based sampling, optimal transport, and stochastic optimal control through their shared links to the Schrödinger bridge problem, we propose…