1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
physics.soc-ph2023
A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks
Ye Hong, Yanan Xin, Simon Dirmeier +2
Deep neural networks are increasingly utilized in mobility prediction tasks, yet their intricate internal workings pose challenges for interpretability, especially in comprehending…
cs.LG2023★ 1 cited
Uncertainty quantification and out-of-distribution detection using surjective normalizing flows
Simon Dirmeier, Ye Hong, Yanan Xin +1
Reliable quantification of epistemic and aleatoric uncertainty is of crucial importance in applications where models are trained in one environment but applied to multiple differen…