Moments developments and their application to the electronic charge distribution of d bands
By F. Ducastelle, F. Cyrot-Lackmann. 1970
Subfields: AI for Physical Sciences
Citations in the corpus
- The Full Spectrum of Deep Net Hessians At Scale: Dynamics with Sample Size (2018, neutral): “Our approach for approximating the Hessian of deep nets builds on the survey of [10], which discussed several different methods for approximating the density of the spectrum of large linear operators; many of these were first developed in the context of studies of large linear operators in quantum m”
- Approximating Spectral Densities of Large Matrices (2013, unknown): “…density is such an important problem in quantum mechanics, there is an abundant literature devoted to this problem and research in this area was extremely active in the 1970s and 1980s, leading to clever and powerful methods developed by physicists and chemists [12, 42, 10, 44] for this purpose.”
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size. (2018, unknown): “…methods for approximating the density of the spectrum of large linear operators; many of which were first developed by physicists and chemists in quantum mechanics starting from the 1970’s [Ducastelle and Cyrot-Lackmann, 1970, Wheeler and Blumstein, 1972, Turek, 1988, Drabold and Sankey, 1993].”