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Distributional counterfactual explanations are now possible for black-box tabular models, thanks to a novel sparse search algorithm that sidesteps the need for gradients.
A dual-level Mixture-of-Experts architecture can effectively unify diverse image restoration tasks within a single diffusion transformer model, achieving state-of-the-art results.
Ditch optical flow for image alignment: DMAligner leverages diffusion models to synthesize novel views, sidestepping traditional warping's occlusion and illumination woes.