appliedAI — TransferLab
We identify, test and disseminate established and emerging techniques in machine learning in order to provide practitioners with the best tools for their applications
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What we are reading:
Paper pills
Measuring the Intrinsic Dimension of Objective Landscapes
Learning nonlinear operators: the DeepONet architecture
Spectral likelihood expansions for Bayesian inference
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful
Benchmarking Simulation-Based Inference