Explore probabilistic numerics for inference with simulations in this Fields Institute seminar presented by Philipp Henning from Universität Tübingen. Delve into high-dimensional models, numerical methods, and probabilistic programming. Learn about algorithm implementation, mixed information sources, and optimization techniques. Gain insights on single forward pass and mini-batching approaches. Discover how these concepts apply to machine learning advances and applications through practical examples and observations.