AI RESEARCH
Variational Graph Neural Networks for Uncertainty Quantification in Inverse Problems
arXiv CS.LG
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ArXi:2603.29515v1 Announce Type: new The increasingly wide use of deep machine learning techniques in computational mechanics has significantly accelerated simulations of problems that were considered unapproachable just a few years ago. However, in critical applications such as Digital Twins for engineering or medicine, fast responses are not enough; reliable results must also be provided.