scientific article; zbMATH DE number 7164781

zbMath1433.68377arXiv1903.02334MaRDI QIDQ5214290

Aapo Hyvärinen, Saeed Saremi

Publication date: 7 February 2020

Full work available at URL: https://arxiv.org/abs/1903.02334

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

empirical Bayesassociative memoryconcentration of measureLangevin MCMCunnormalized densities

Mathematics Subject Classification ID

Density estimation (62G07) Learning and adaptive systems in artificial intelligence (68T05) Stochastic approximation (62L20) Numerical solutions to stochastic differential and integral equations (65C30) Empirical decision procedures; empirical Bayes procedures (62C12) Neural nets and related approaches to inference from stochastic processes (62M45)

Uses Software

• DiffSharp
• PyTorch

Cites Work

• Robust exponential memory in Hopfield networks
• Least Squares Estimation Without Priors or Supervision
• 10.1162/153244304322972667
• Learning Deep Architectures for AI
• The estimation of the gradient of a density function, with applications in pattern recognition
• GSNs: generative stochastic networks
• High-Dimensional Statistics
• High-Dimensional Probability
• A Connection Between Score Matching and Denoising Autoencoders
• Neural networks and physical systems with emergent collective computational abilities.
• On Estimation of a Probability Density Function and Mode
• A Stochastic Approximation Method
• A logical calculus of the ideas immanent in nervous activity
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