JLSE Projects by Category: Data & AI/Learning
Benchmarking Genetic Variant Calling algorithms
Dimensionality Reduction for Weather and Climate data (PI: Vishwas Rao, Argonne National Laboratory)
Neural network quantum states for atomic nuclei (PI: Alessandro Lovato, Argonne National Laboratory)
Machine Learning for Scientific Image and Graph Processing (PI: Sandeep Madireddy, MCS)
Machine learning for mesh adaptation (PI: David Del Rey Fernandez, National Institute of Aerospace)
Manifold learning (PI: Stefan Wild, MCS)
Machine Learning Applied on Optics Systems (PI: Sheikh Mashrafi, XSD)
Power-efficient Learning with Neuromorphic Hardware (PI: Valentin Reis, MCS)
Datascience (PI: Venkatram Vishwanath, LCF)
Connectomics ESP (PI: Nicola Ferrier, CLS)
In Situ Feature Tracking and Visualization with Deep Learning (PI: Hanqi Guo, MCS)
Neural Architecture and Hyper-parameter Search for Deep Learning (PI: Prasanna Balaprakash, MCS)
Detecting Silent Data Corruptions with Deep Neural Network (PI: Franck Cappello, MCS)
Lossy Compression of Scientific Data Leveraging Deep Learning (PI: Franck Cappello, MCS)
Deep Learning Frameworks Performance (PI: Yasaman Ghadar, LCF)
Machine Learning Guided Cross-Layer Resilience (PI: Yanjing Li, UofC)
ALCF Data Science Program (ADSP) (PI: Venkatram Vishwanath, LCF)