Login / Signup

Stochastic gradient descent-based inference for dynamic network models with attractors.

Hancong PanXiaojing ZhuCantay CaliskanDino P. ChristensonKonstantinos SpiliopoulosDylan WalkerEric D. Kolaczyk
Published in: CoRR (2024)
Keyphrases
  • stochastic gradient descent
  • probabilistic model
  • matrix factorization
  • learning models
  • machine learning
  • model selection
  • loss function
  • image sequences
  • bayesian networks