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Norwegian University of Life Sciences
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Neural ODEs can revolutionize transformer thermal forecasting by integrating physics directly into the modeling process, yielding robust predictions with less data.
Get 82x faster Bayesian inference for equipment monitoring by replacing MCMC with neural nets trained on simulated data.
