most citedDenoising Diffusion Probabilistic Model for realistic and fast generated \textit{Euclid}-like data for weak lensing analysis

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.CO2026

Diffusion-based Galaxy Simulations for the Roman High Latitude Survey

Diana Scognamiglio, Jake H. Lee, Eric Huff +2

Future weak lensing analyses with the Nancy Grace Roman Space Telescope will require highly realistic image simulations to control shear systematics at unprecedented precision. A k…

eess.SP2025

Multi-Platform Methane Plume Detection via Model and Domain Adaptation

Vassiliki Mancoridis, Brian Bue, Jake H. Lee +5

Prioritizing methane for near-term climate action is crucial due to its significant impact on global warming. Previous work used columnwise matched filter products from the airborn…

cs.LG2025

Towards Operational Automated Greenhouse Gas Plume Detection and Delineation

Brian D. Bue, Jake H. Lee, Andrew K. Thorpe +7

Operational deployment of a fully automated facility-scale greenhouse gas (GHG) plume detection system remains challenging for fine spatial resolution imaging spectrometers, despit…

astro-ph.GA2025★ 4 cited

Denoising Diffusion Probabilistic Model for realistic and fast generated \textit{Euclid}-like data for weak lensing analysis

Diana Scognamiglio, Jake H. Lee, Eric Huff +2

Understanding and mitigating measurement systematics in weak lensing (WL) analysis requires large datasets of realistic galaxies with diverse morphologies and colors. Missions like…

cs.LG2025★ 2 cited

SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection

Jake H. Lee, Michael Kiper, David R. Thompson +1

Current and upcoming generations of visible-shortwave infrared (VSWIR) imaging spectrometers promise unprecedented capacity to quantify Earth System processes across the globe. How…