Exploring accuracy and uncertainty quantification in physics-informed neural networks for inferring microbial community dynamics

Ähnliche Einträge

• Structured methods for parameter inference and uncertainty quantification for mechanistic models in the life sciences
  von: Plank, Michael J., et al.
  Veröffentlicht: (2024)
• A decision-theoretic framework for uncertainty quantification in epidemiological modelling
  von: Steyn, Nicholas, et al.
  Veröffentlicht: (2025)
• Oscillatory dynamics in complex recurrent neural networks
  von: Sengupta, Rakesh, et al.
  Veröffentlicht: (2015)
• Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks
  von: Nardini, John T.
  Veröffentlicht: (2023)
• LinkedNN: a neural model of linkage disequilibrium decay for recent effective population size inference
  von: Smith, Chris C R
  Veröffentlicht: (2026)