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Found 3 papers, 1 papers with code
Distributionally Robust Statistical Verification with Imprecise Neural Networks
A particularly challenging problem in AI safety is providing guarantees on the behavior of high-dimensional autonomous systems.
Take Me Home: Reversing Distribution Shifts using Reinforcement Learning
To aid in our estimates of Wasserstein distance, we employ dimensionality reduction through orthonormal projection.
Credal Bayesian Deep Learning
We show that CBDL is better at quantifying and disentangling different types of uncertainties than single BNNs, ensemble of BNNs, and Bayesian Model Averaging.
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