All sources cited or reviewed
This is a list of all sources we have used in the TransferLab, with links to the referencing content and metadata, like accompanying code, videos, etc. If you think we should look at something, drop us a line
References
[Sch23C]
Consistency Models for Scalable and Fast Simulation-Based Inference,
[Sch22D]
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks,
[Sim13D]
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps,
[Sis18H]
Handbook of Approximate Bayesian Computation,
[Thr05P]
Probabilistic Robotics,
[Van21I]
An Introduction to Probabilistic Programming,