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20222026
most citedEntire Space Counterfactual Learning for Reliable Content Recommendations

2 citations · 2 across the 5 of their papers we have counts for

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cs.LG2026

Towards Intrinsically Calibrated Uncertainty Quantification in Industrial Data-Driven Models via Diffusion Sampler

Yiran Ma, Jerome Le Ny, Zhichao Chen +1

In modern process industries, data-driven models are important tools for real-time monitoring when key performance indicators are difficult to measure directly. While accurate pred…