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07/13/2023
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications
As supercomputers advance towards exascale capabilities, computational i...
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06/29/2022
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5
Lossy compression is one of the most efficient solutions to reduce stora...
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10/25/2021
Self-supervised similarity search for large scientific datasets
We present the use of self-supervised learning to explore and exploit la...
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09/30/2021
Mining for strong gravitational lenses with self-supervised learning
We employ self-supervised representation learning to distill information...
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06/23/2021
Fast, high-fidelity Lyman α forests with convolutional neural networks
Full-physics cosmological simulations are powerful tools for studying th...
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01/12/2021
Estimating Galactic Distances From Images Using Self-supervised Representation Learning
We use a contrastive self-supervised learning framework to estimate dist...
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12/24/2020
