Amortized Mixture of Gaussians (AMoG): A Proof of Concept for “Learning to X”, or how I re-discovered simulation-based inference

here s my final hackathon of the year (2024). there are a few concepts in deep learning that i simply love. they include (but are not limited to) autoregressive sequence modeling, mixture density networks, boltzmann machines, variational autoencoders, stochastic gradient descent with adaptive learning rate and more recently set transformers. so,