Search Results for author: Po-Lun Ma

Found 3 papers, 2 papers with code

Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds

no code implementations31 Oct 2023 Justus C. Will, Andrea M. Jenney, Kara D. Lamb, Michael S. Pritchard, Colleen Kaul, Po-Lun Ma, Kyle Pressel, Jacob Shpund, Marcus van Lier-Walqui, Stephan Mandt

Thorough analysis of local droplet-level interactions is crucial to better understand the microphysical processes in clouds and their effect on the global climate.

Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset

1 code implementation8 Feb 2023 Sungduk Yu, Mike Pritchard, Po-Lun Ma, Balwinder Singh, Sam Silva

Hyperparameter optimization (HPO) is an important step in machine learning (ML) model development, but common practices are archaic -- primarily relying on manual or grid searches.

Hyperparameter Optimization

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