Journal of Statistical Mechanics: theory and experiment
By Marc Mézard, F. C. Alcaraz. 2019
423 citations recorded by the source corpus.
Subfields: AI for Physical Sciences
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In AI for Physical Sciences
- Pierfrancesco Urbani
- Francesco Zamponi
- Giorgio Parisi
- Silvio Franz
- Matthieu Wyart
- Stefano Spigler
- Mario Geiger
- Stéphane d'Ascoli
Citations in the corpus
- The jamming transition as a paradigm to understand the loss landscape of deep neural networks (2018, background): “Calculations in infinite dimensions [43, 55] showed that marginal stability is associated with a hierarchical organization of minima of the energy (a phenomenon referred to as replica symmetry breaking [56]), and exponents were found to follow γ = 0.”
- Universality of the SAT-UNSAT (jamming) threshold in non-convex continuous constraint satisfaction problems (2017, methodology): “Furthermore, in [17] it has been shown how to study systematically the free energy landscape of the model using a Thouless-Anderson-Palmer approach [18] to ar X iv :1 70 2.”