Chiara Cammarota

Statistical and Nonlinear Physics · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 6 citations into it

Whom Chiara Cammarota trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michel Le Bellac

Papers from Chiara Cammarota's perspective

Ordered by how strongly the researchers Chiara Cammarota trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Understanding deep learning requires rethinking generalization
3. Efficient BackProp
4. The Loss Surfaces of Multilayer Networks
5. Entropy-SGD: biasing gradient descent into wide valleys
6. Three Factors Influencing Minima in SGD
7. Spin Glass Theory And Beyond: An Introduction To The Replica Method And Its Applications
8. Singularity of the Hessian in Deep Learning
9. Statistical physics of inference: thresholds and algorithms
10. Theoretical perspective on the glass transition and amorphous materials

Their papers

• Comparing dynamics: deep neural networks versus glassy systems (2018) — 131 citations
• Marginally stable equilibria in critical ecosystems (2017) — 154 citations
• Numerical implementation of dynamical mean field theory for disordered systems: application to the Lotka–Volterra model of ecosystems (2019) — 122 citations