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cs.LG2025
Reducing normalizing flow complexity for MCMC preconditioning
David Nabergoj, Erik Štrumbelj
Preconditioning is a key component of MCMC algorithms that improves sampling efficiency by facilitating exploration of geometrically complex target distributions through an inverti…
stat.ME2025
A General Approach to Visualizing Uncertainty in Statistical Graphics
Bernarda Petek, David Nabergoj, Erik Štrumbelj
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…
cs.LG2025
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models
Valter Hudovernik, Minkai Xu, Juntong Shi +4
Real-world databases are predominantly relational, comprising multiple interlinked tables that contain complex structural and statistical dependencies. Learning generative models o…