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Isaac Lyngaas

Computational Scientist

Contact

LYNGAASIR@ORNL.GOV

All Publications

Scale-up Unlearnable Examples Learning with High-performance Computing
Adaptive Patching for High-resolution Image Segmentation with Transformers
Real-time High-resolution X-Ray Computed Tomography
Comparative Study of Large Language Model Architectures on Frontier...
Optimizing Distributed Training on Frontier for Large Language Models
Path-BigBird: An AI-Driven Transformer Approach to Classification of Cancer Pathology Reports
Efficient Distributed Sequence Parallelism for Transformer-Based Image Segmentation...
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications
Portable C++ Code that can Look and Feel Like Fortran Code with Yet Another Kernel Launcher (YAKL)
Language Models for the Prediction of SARS-CoV-2 Inhibitors
Automating Genetic Algorithm Mutations for Molecules Using a Masked Language Model
Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF’s summit supercomputer

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Related News

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Going big: World’s fastest computer takes on large language modeling

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Researchers from ORNL develop AI-driven tool for near real-time cancer surveillance

Research Highlight

Preparing Transformer models for Frontier
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