Data Science and Artificial Intelligence

Presentations

September 13, 2021: 9:00am – 1:15pm
Location: Oppenheimer Study Center, Jemez/Cochiti Rooms & WebEx
Rapid Response Research Call for Proposals
Printable agenda (pdf)

Rapid Response – Data Science and Artificial Intelligence 

• Machine Learning for Hyperspectral X-ray Imaging Analysis / Matthew Carpenter

• Securing our Technical Leadership in Hierarchical Watersheds / Reid Porter

• Unbiased Reconstruction of Lossy-compressed Statistical Data / Boram Yoon

• AI Enhanced Discretization’s for High-Fidelity Physics Simulations / Peter Brady

• Adaptive Machine Learning-based Real-time 3D Inversion of Coherent Diffraction Imaging / Alexander Scheinker

• Data-driven Models of Adsorption Equilibria of Multi-component Mixtures in Porous Materials / Mohamed Mehana

Rapid Response – Computational and Data Integrity

• Explanations as Defense: Detecting Adversarial Inputs to Machine Learning Models / Lissa Moore

• Private and Verifiable Model Evaluation using Secure Multiparty Computation and Zero-knowledge / Michael Dixon

• Boosting in Deep Semi-supervised Learning with Multi-view Redundant Information / Juan Castorena

• Wildfire Reburns and Diminishing Returns of Existing Forest Management Policies / Kurt Solander

• Performance Modeling of Scientific Codes on Machine Learning Accelerators / Li Tang