- 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
- Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers link
- Explaining Classifiers with Causal Concept Effect(CaCE) link
- Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression (MICCAI 2019)
- 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