Geahča maid

• The effects of Hessian eigenvalue spectral density type on the applicability of Hessian analysis to generalization capability assessment of neural networks
  Dahkki: Gabdullin, Nikita
  Almmustuhtton: (2025)
• Exploring possible vector systems for faster training of neural networks with preconfigured latent spaces
  Dahkki: Gabdullin, Nikita
  Almmustuhtton: (2025)
• Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
  Dahkki: Gabdullin, Nikita
  Almmustuhtton: (2025)
• Using predefined vector systems to speed up neural network multimillion class classification
  Dahkki: Gabdullin, Nikita, et al.
  Almmustuhtton: (2026)
• Latent space configuration for improved generalization in supervised autoencoder neural networks
  Dahkki: Gabdullin, Nikita
  Almmustuhtton: (2024)