399 citations · 1.1k across the 26 of their papers we have counts for
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Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability
Matias G. Delgadino, Sebastien Motsch, Advait Parulekar +2
Diffusion-based posterior samplers draw from measurement- or reward-conditioned posteriors using pretrained diffusion priors. Though widely used for inverse problems, their output…
EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection
En-Ya Kuo, Sebastien Motsch
Imbalanced datasets pose a difficulty in fraud detection, as classifiers are often biased toward the majority class and perform poorly on rare fraudulent transactions. Synthetic da…
Wealth exchange under ceiling and flooring constraints: a modified Bennati-Dragulescu-Yakovenko model
Fei Cao, Sebastien Motsch, Wendy Garcia Umbarita
We investigate the classical Bennati-Dragulescu-Yakovenko (BDY) dollar exchange model introduced in \cite{dragulescu_statistical_2000} where the effects of wealth ceiling and wealt…