Uncertainty quantification of neural network models of evolving processes via Langevin sampling

no code implementations • 21 Apr 2025 • Cosmin Safta, Reese E. Jones, Ravi G. Patel, Raelynn Wonnacot, Dan S. Bolintineanu, Craig M. Hamel, Sharlotte L. B. Kramer

We propose a scalable, approximate inference hypernetwork framework for a general model of history-dependent processes.

Uncertainty Quantification Variational Inference