Non-Parametric Spatiotemporal Trajectory Prediction via State-Conditioned Transition Sampling
This is a neat engineering result: simpler, cheaper, no training, and it handles data scarcity better. But it's specialized to trajectory prediction and tested only on maritime AIS data. The generalization to other domains and the practical advantage over fine-tuned transformers in realistic deployment scenarios remain unclear. Worth considering if you're building systems in data-poor geographies, but don't expect this to replace learned models broadly.