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Simulation-based Inference with the Python Package sbijax
Simon Dirmeier, Antonietta Mira, Carlo Albert
Neural simulation-based inference (SBI) describes an emerging family of methods for Bayesian inference with intractable likelihood functions that use neural networks as surrogate m…
cs.LG2024
Synthetic location trajectory generation using categorical diffusion models
Simon Dirmeier, Ye Hong, Fernando Perez-Cruz
Diffusion probabilistic models (DPMs) have rapidly evolved to be one of the predominant generative models for the simulation of synthetic data, for instance, for computer vision, a…