Improving Gaussian mixture latent variable model convergence with Optimal Transport. | 0 | 0.34 | 2021 |
Shapley explainability on the data manifold. | 0 | 0.34 | 2021 |
Shapley explainability on the data manifold | 0 | 0.34 | 2021 |
Learning Disentangled Representations with the Wasserstein Autoencoder | 0 | 0.34 | 2021 |
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability | 0 | 0.34 | 2020 |
Parenting: Safe Reinforcement Learning from Human Input. | 0 | 0.34 | 2019 |
Invariant-equivariant representation learning for multi-class data. | 0 | 0.34 | 2019 |
Improving latent variable descriptiveness by modelling rather than ad-hoc factors. | 0 | 0.34 | 2019 |
Improving latent variable descriptiveness with AutoGen. | 0 | 0.34 | 2018 |
Gaussian mixture models with Wasserstein distance. | 1 | 0.43 | 2018 |