Matthieu Wyart

According to our database1, Matthieu Wyart authored at least 11 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Direct coupling analysis of epistasis in allosteric materials.
PLoS Comput. Biol., 2020

Compressing invariant manifolds in neural nets.
CoRR, 2020

How isotropic kernels learn simple invariants.
CoRR, 2020

2019
Disentangling feature and lazy learning in deep neural networks: an empirical study.
CoRR, 2019

Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm.
CoRR, 2019

Scaling description of generalization with number of parameters in deep learning.
CoRR, 2019

2018
A jamming transition from under- to over-parametrization affects loss landscape and generalization.
CoRR, 2018

The jamming transition as a paradigm to understand the loss landscape of deep neural networks.
CoRR, 2018

Comparing Dynamics: Deep Neural Networks versus Glassy Systems.
Proceedings of the 35th International Conference on Machine Learning, 2018

2013
Simulations of driven overdamped frictionless hard spheres.
Comput. Phys. Commun., 2013

2010
Evaluating Gene Expression Dynamics Using Pairwise RNA FISH Data.
PLoS Comput. Biol., 2010


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