A Lagrangian particle advection technique in a time-reparameterized spacetime formulation visualizes coherent heat transport paths and attracting/repelling structures in unsteady convective flows.
A tutorial on kernel density estimation and recent advances.Biostatistics & Epidemiology, 1(1):161–187
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A neural doubly robust proxy causal learning framework using mean embeddings for treatment bridges provides consistent estimators for causal dose-response functions under unobserved confounding for continuous and structured treatments.
Releases a publicly available, collocated multi-sensor dataset of Landsat, Sentinel-1, GOES-R and microwave observations for urban heat studies across 48 cities.
citing papers explorer
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Visualizing Lagrangian Heat Transport Paths and Density Structures in Unsteady Heat Transfer
A Lagrangian particle advection technique in a time-reparameterized spacetime formulation visualizes coherent heat transport paths and attracting/repelling structures in unsteady convective flows.
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Doubly Robust Proxy Causal Learning with Neural Mean Embeddings
A neural doubly robust proxy causal learning framework using mean embeddings for treatment bridges provides consistent estimators for causal dose-response functions under unobserved confounding for continuous and structured treatments.
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Urban Heat MiniCubes: An AI-Ready dataset for urban heat research
Releases a publicly available, collocated multi-sensor dataset of Landsat, Sentinel-1, GOES-R and microwave observations for urban heat studies across 48 cities.