Hugging Face Trending Papers June 4, 2026

Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions

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Deep learning has enabled significant advances in time-series causal inference, yet progress remains constrained by the lack of realistic benchmarks with observable counterfactual outcomes. Existing datasets either rely on real-world observations without ground-truth counterfactuals or on simplified simulations that fail to capture complex causal dynamics.

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Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions

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Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions

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