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Interpretability

  • Learning Interpretable Models in the Property Specification Language link
  • SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver link
  • I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models link
  • Domain Adaptation As a Problem of Inference on Graphical Models link

Causal + counterfactual

  • Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers link
  • Explaining Classifiers with Causal Concept Effect(CaCE) link

Disease progression

  • Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression (MICCAI 2019)

Invertible NN

  • MintNet: Building Invertible Neural Networks with Masked Convolutions
  • The Reversible Residual Network:Backpropagation Without Storing Activations
  • Analyzing Inverse Problems withInvertible Neural Networks
  • i-RevNet: Deep Invertible Networks link
  • Invertible Residual Networks link
  • Density estimation using Real NVP link