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• Lift & Learn: A Scientific Machine Learning Framework for Learning Low-Dimensional Models for Nonlinear PDEs

  LANS Seminar

• Limited-Memory Structured Quasi-Newton Methods

  LANS Seminar

• Distributed Deep Learning and Neural Network Potentials for Quantum Chemistry

• Learning Sparse Non-Gaussian Graphical Models

• Nonlinear Model Reduction: Using Machine Learning to Enable Rapid Simulation of Extreme-Scale Physics Models

  LANS Seminar

• A Study on Data-Driven Optimization with Input Uncertainty

  LANS Seminar

• Full Waveform Inversion with a Finite-Difference DSL

• Stellarator Optimization

  LANS Seminar

• Scalable Recurrent Neural Architecture Searches for Geophysical Emulation

  AI & HPC Seminar

• Hydrology in the Supercomputing Age