TabChange produces more proximal and valid counterfactuals on tabular data by relationship-based flipping or adversarial latent-space attribute removal compared to baselines on seven datasets.
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets.arXiv preprint arXiv:2009.05199,
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Presents a model-agnostic framework for flow-based generative editing that operates in residual space using evolutionary self-pollination for exploitation and cross-pollination for exploration.
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Residual-Space Evolutionary Optimization via Flow-based Generative Models
Presents a model-agnostic framework for flow-based generative editing that operates in residual space using evolutionary self-pollination for exploitation and cross-pollination for exploration.