collaborators

6 papers

cs.CV2026

Hard to See, Hard to Label: Generative and Symbolic Acquisition for Subtle Visual Phenomena

Renjith Prasad, Rishabh Sharma, Andrew E. Shao +8

Subtle visual anomalies such as hairline cracks, sub-millimeter voids, and low-contrast inclusions are structurally atypical yet visually ambiguous, making them both difficult to a…

cs.LG2026

The Recipe Matters More Than the Kitchen:Mathematical Foundations of the AI Weather Prediction Pipeline

Piyush Garg, Diana R. Gergel, Andrew E. Shao +1

AI weather prediction has advanced rapidly, yet no unified mathematical framework explains what determines forecast skill. Existing theory addresses specific architectural choices…

cs.DC2025

RHAPSODY: Execution of Hybrid AI-HPC Workflows at Scale

Aymen Alsaadi, Mason Hooten, Mariya Goliyad +14

Hybrid AI-HPC workflows combine large-scale simulation, training, high-throughput inference, and tightly coupled, agent-driven control within a single execution campaign. These wor…

physics.ao-ph2025

A Framework for Hybrid Physics-AI Coupled Ocean Models

Laure Zanna, William Gregory, Pavel Perezhogin +23

Climate simulations, at all grid resolutions, rely on approximations that encapsulate the forcing due to unresolved processes on resolved variables, known as parameterizations. Par…

cs.DC2025

In-Transit Data Transport Strategies for Coupled AI-Simulation Workflow Patterns

Harikrishna Tummalapalli, Riccardo Balin, Christine M. Simpson +5

Coupled AI-Simulation workflows are becoming the major workloads for HPC facilities, and their increasing complexity necessitates new tools for performance analysis and prototyping…

cs.DC2025

Towards Experiment Execution in Support of Community Benchmark Workflows for HPC

Gregor von Laszewski, Wesley Brewer, Sean R. Wilkinson +5

A key hurdle is demonstrating compute resource capability with limited benchmarks. We propose workflow templates as a solution, offering adaptable designs for specific scientific a…