Author

Kohsuke Kubota

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Preprint Aug 2026

Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments

The Causal Inference for Heterogeneous Single and Interaction Treatment Effects Network (CIHSI-Net) is proposed, a deep learning framework built on a novel Barycentric Fused Gromov-Wasserstein Balancing objective that consistently outperforms state-of-the-art baselines and demonstrates its practical utility in complex...

Yuki Murakami, Takumi Hattori, Kohsuke Kubota · 0 citations