All Stories

  1. Thorough Characterization and Analysis of Large Transformer Model Training At-Scale
  2. Thorough Characterization and Analysis of Large Transformer Model Training At-Scale
  3. Thorough Characterization and Analysis of Large Transformer Model Training At-Scale
  4. Protein Generation via Genome-scale Language Models with Bio-physical Scoring
  5. HMC with Normalizing Flows
  6. LeapfrogLayers: A Trainable Framework for Effective Topological Sampling
  7. Machine learning inspired analysis of the Ising model transition
  8. Examples of renormalization group transformations for image sets
  9. Large energy density in three-plate nanocapacitors due to Coulomb blockade
  10. RG-inspired machine learning for lattice field theory
  11. Learning better physics