Erratum: On variational arguments for vibrational modes near jamming

By Le Yan, E. DeGiuli, Matthieu Wyart. 2016

36 citations recorded by the source corpus.

Original article: EPL, 114 (2016) 26003.

Subfields: Materials Chemistry, Statistical and Nonlinear Physics, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Materials Chemistry

1. Stefano Spigler
2. Mario Geiger
3. Matthieu Wyart
4. Levent Sagun
5. Stéphane d'Ascoli
6. Giulio Biroli
7. Carolina Brito
8. Le Yan

In Statistical and Nonlinear Physics

1. Carolina Brito
2. Riccardo Ravasio
3. Matthieu Wyart
4. Stefano Spigler
5. Stéphane d'Ascoli
6. Giulio Biroli
7. Levent Sagun
8. Mario Geiger

In Natural Language Processing

1. Stefano Spigler
2. Matthieu Wyart
3. Stéphane d'Ascoli
4. Le Yan

Citations in the corpus

• The jamming transition as a paradigm to understand the loss landscape of deep neural networks (2018, background): “[54] Le Yan, Eric DeGiuli, and Matthieu Wyart, “On vari-”
• Architecture and coevolution of allosteric materials (2016, methodology): “We then produce networks with different coordination numbers by removing springs between the most connected neighbors one by one [15, 31].”