FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893759728> ?p ?o ?g. }

• W2893759728 abstract "Critical jamming transitions are characterized by an astonishing degree of universality. Analytic and numerical evidence points to the existence of a large universality class that encompasses finite and infinite dimensional spheres and continuous constraint satisfaction problems (CCSP) such as the nonconvex perceptron and related models. In this Letter we investigate multilayer neural networks (MLNN) learning random associations as models for CCSP that could potentially define different jamming universality classes. As opposed to simple perceptrons and infinite dimensional spheres, which are described by a single effective field in terms of which the constraints appear to be one dimensional, the description of MLNN involves multiple fields, and the constraints acquire a multidimensional character. We first study the models numerically and show that similarly to the perceptron, whenever jamming is isostatic, the sphere universality class is recovered, we then write the exact mean-field equations for the models and identify a dimensional reduction mechanism that leads to a scaling regime identical to the one of spheres." @default.
• W2893759728 created "2018-10-05" @default.
• W2893759728 creator A5017614803 @default.
• W2893759728 creator A5066416698 @default.
• W2893759728 creator A5069242645 @default.
• W2893759728 date "2019-10-17" @default.
• W2893759728 modified "2023-10-04" @default.
• W2893759728 title "Jamming in Multilayer Supervised Learning Models" @default.
• W2893759728 cites W1650706190 @default.
• W2893759728 cites W1766805638 @default.
• W2893759728 cites W1811460226 @default.
• W2893759728 cites W1978708924 @default.
• W2893759728 cites W1991904924 @default.
• W2893759728 cites W2001570872 @default.
• W2893759728 cites W2013128153 @default.
• W2893759728 cites W2014103205 @default.
• W2893759728 cites W2020070116 @default.
• W2893759728 cites W2025596398 @default.
• W2893759728 cites W2030225915 @default.
• W2893759728 cites W2035178137 @default.
• W2893759728 cites W2053324736 @default.
• W2893759728 cites W2057439276 @default.
• W2893759728 cites W2062232020 @default.
• W2893759728 cites W2062313687 @default.
• W2893759728 cites W2070784404 @default.
• W2893759728 cites W2090614046 @default.
• W2893759728 cites W2095186588 @default.
• W2893759728 cites W2151781750 @default.
• W2893759728 cites W2156090939 @default.
• W2893759728 cites W2166772812 @default.
• W2893759728 cites W2388790370 @default.
• W2893759728 cites W2612837156 @default.
• W2893759728 cites W2787894218 @default.
• W2893759728 cites W2810781191 @default.
• W2893759728 cites W2888394177 @default.
• W2893759728 cites W2959995783 @default.
• W2893759728 cites W3100635956 @default.
• W2893759728 cites W3102630729 @default.
• W2893759728 cites W3104651972 @default.
• W2893759728 cites W3105392855 @default.
• W2893759728 cites W3121314043 @default.
• W2893759728 cites W41200557 @default.
• W2893759728 cites W4292414116 @default.
• W2893759728 cites W4298227433 @default.
• W2893759728 doi "https://doi.org/10.1103/physrevlett.123.160602" @default.
• W2893759728 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31702370" @default.
• W2893759728 hasPublicationYear "2019" @default.
• W2893759728 type Work @default.
• W2893759728 sameAs 2893759728 @default.
• W2893759728 citedByCount "28" @default.
• W2893759728 countsByYear W28937597282019 @default.
• W2893759728 countsByYear W28937597282020 @default.
• W2893759728 countsByYear W28937597282021 @default.
• W2893759728 countsByYear W28937597282022 @default.
• W2893759728 countsByYear W28937597282023 @default.
• W2893759728 crossrefType "journal-article" @default.
• W2893759728 hasAuthorship W2893759728A5017614803 @default.
• W2893759728 hasAuthorship W2893759728A5066416698 @default.
• W2893759728 hasAuthorship W2893759728A5069242645 @default.
• W2893759728 hasBestOaLocation W28937597284 @default.
• W2893759728 hasConcept C121332964 @default.
• W2893759728 hasConcept C121864883 @default.
• W2893759728 hasConcept C1276947 @default.
• W2893759728 hasConcept C154945302 @default.
• W2893759728 hasConcept C183992945 @default.
• W2893759728 hasConcept C2524010 @default.
• W2893759728 hasConcept C2779079576 @default.
• W2893759728 hasConcept C28826006 @default.
• W2893759728 hasConcept C33923547 @default.
• W2893759728 hasConcept C41008148 @default.
• W2893759728 hasConcept C50644808 @default.
• W2893759728 hasConcept C60908668 @default.
• W2893759728 hasConcept C62520636 @default.
• W2893759728 hasConcept C68532491 @default.
• W2893759728 hasConcept C72422203 @default.
• W2893759728 hasConcept C97355855 @default.
• W2893759728 hasConcept C99844830 @default.
• W2893759728 hasConceptScore W2893759728C121332964 @default.
• W2893759728 hasConceptScore W2893759728C121864883 @default.
• W2893759728 hasConceptScore W2893759728C1276947 @default.
• W2893759728 hasConceptScore W2893759728C154945302 @default.
• W2893759728 hasConceptScore W2893759728C183992945 @default.
• W2893759728 hasConceptScore W2893759728C2524010 @default.
• W2893759728 hasConceptScore W2893759728C2779079576 @default.
• W2893759728 hasConceptScore W2893759728C28826006 @default.
• W2893759728 hasConceptScore W2893759728C33923547 @default.
• W2893759728 hasConceptScore W2893759728C41008148 @default.
• W2893759728 hasConceptScore W2893759728C50644808 @default.
• W2893759728 hasConceptScore W2893759728C60908668 @default.
• W2893759728 hasConceptScore W2893759728C62520636 @default.
• W2893759728 hasConceptScore W2893759728C68532491 @default.
• W2893759728 hasConceptScore W2893759728C72422203 @default.
• W2893759728 hasConceptScore W2893759728C97355855 @default.
• W2893759728 hasConceptScore W2893759728C99844830 @default.
• W2893759728 hasFunder F4320306164 @default.
• W2893759728 hasFunder F4320320883 @default.
• W2893759728 hasIssue "16" @default.
• W2893759728 hasLocation W28937597281 @default.
• W2893759728 hasLocation W28937597282 @default.
• W2893759728 hasLocation W28937597283 @default.

• next