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Computational Bioscience Research Center
CBRC
Computational Bioscience Research Center
PETScML
On the Use of "Conventional" Unconstrained Minimization Solvers for Training Regression Problems in Scientific Machine Learning
Stefano Zampini, Senior Research Scientist, Hierarchical Computations on Manycore Architectures
Mar 13, 12:00
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13:00
B9 L2 R2325
petsc
PETScML
machine learning
This talk introduces PETScML, a framework leveraging traditional second-order optimization solvers for use within scientific machine learning, demonstrating improved generalization capabilities over gradient-based methods routinely adopted in deep learning.
