Causal Counterfactual Framework Ablates Training Data Without Retraining
maier_ak · x · 2026-08-25
The team built a causal counterfactual framework that asks "what-if" a training example never existed. Using a diffusion-ensemble—many sub-models each trained on a data slice—they can ablate any component and generate a model without retraining.
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