Author

Promit Ghosal

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Preprint Oct 2026

Uniform-in-Time and Uniform-in-Temperature Particle Approximations of Coulomb MMD Flows

We study particle approximations of maximum mean discrepancy (MMD) flows with the Coulomb kernel on the torus $\mathbb{T}^d$, $d\ge2$, driven by thermal noise of strength $\tau\ge0$. For smooth, strictly positive initial and target densities and i.i.d. initial positions, we prove that the expected Wasserstein-1 distanc...

Jun-Ho Lee, Promit Ghosal · 0 citations

#artificial intelligence Preprint Oct 2026

Cross-Modal Latent Influence: Patch-Level Training Sample Attribution for Vision-Language Models

Explaining a vision--language model (VLM) prediction requires tracing training-example influence to the multimodal evidence that mediates it, yet existing attribution methods largely operate only at the sample level. Recent latent-mediated influence methods provide feature-level attribution in language models, but lack...

Laura Yao, Shi-Xing Yu, Jie Peng et al. · 0 citations

Preprint Aug 2026

Transporting Randomized Trial Effects to Real-World Populations via Riesz-Calibrated Optimal Transport

Randomized trials support causal inference, but differences between trial and target populations can limit the transportability of treatment effects to real-world settings. Many existing approaches model the propensity of trial participation and can therefore be sensitive to model misspecification and weak overlap of t...

Anik Burman, Margaret Gamalo, Promit Ghosal et al. · 0 citations