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What do you get when you marry #diffusion models with #Petri-net models? A better algorithm for trace #recovery. The paper “Efficient process embedding for diffusion-based trace recovery”, co-authored by Maximilian Matyash, Avigdor Gal, and Arik Senderovich (published in the #Process Science Journal and available here: https://rdcu.be/fmdLj) is an extended version of the best-paper award winner of #ICPM’2025. The paper […]

Our paper “DDTR: #Diffusion #Denoising #Trace #Recovery ” (co-authored by Maximilian Matyash, Avigdor Gal, and Arik Senderovich) was awarded the best paper award at the International Conference on Process Mining (#ICPM’2025), which took place in Montevideo, Uruguay (October 2025). The paper uses a diffusion framework, typically supporting image reconstruction, to solve a problem of trace