Neural tangent kernel: Convergence and generalization in neural networks A Jacot, F Gabriel, C Hongler Advances in neural information processing systems 31, 2018 | 1813 | 2018 |

Convergence of Ising interfaces to Schrammʼs SLE curves D Chelkak, H Duminil-Copin, C Hongler, A Kemppainen, S Smirnov Comptes Rendus Mathematique 352 (2), 157-161, 2014 | 174 | 2014 |

Conformal invariance of spin correlations in the planar Ising model D Chelkak, C Hongler, K Izyurov Annals of Mathematics, Pages 1087-1138 from Volume 181, Issue 3, 2015 | 159 | 2015 |

Scaling description of generalization with number of parameters in deep learning M Geiger, A Jacot, S Spigler, F Gabriel, L Sagun, S d’Ascoli, G Biroli, ... Journal of Statistical Mechanics: Theory and Experiment 2020 (2), 023401, 2020 | 151 | 2020 |

Connection probabilities and RSW‐type bounds for the two‐dimensional FK Ising model H Duminil‐Copin, C Hongler, P Nolin Communications on pure and applied mathematics 64 (9), 1165-1198, 2011 | 109 | 2011 |

The energy density in the planar Ising model C Hongler, S Smirnov Acta Mathematica, Issue 2, pp 191–225, 2013 | 107* | 2013 |

Conformal invariance of Ising model correlations C Hongler XVIIth International Congress on Mathematical Physics, 326-335, 2013 | 65 | 2013 |

The scaling limit of critical Ising interfaces is S Benoist, C Hongler The Annals of Probability 47 (4), 2049-2086, 2019 | 63 | 2019 |

Ising interfaces and free boundary conditions C Hongler, K Kytölä Journal of the American Mathematical Society 26 (4), 1107-1189, 2013 | 63* | 2013 |

Crossing probabilities in topological rectangles for the critical planar FK-Ising model D Chelkak, H Duminil-Copin, C Hongler Electronic Journal of Probability 21, 1-28, 2016 | 61 | 2016 |

Implicit regularization of random feature models A Jacot, B Simsek, F Spadaro, C Hongler, F Gabriel International Conference on Machine Learning, 4631-4640, 2020 | 55 | 2020 |

Kernel alignment risk estimator: Risk prediction from training data A Jacot, B Simsek, F Spadaro, C Hongler, F Gabriel Advances in Neural Information Processing Systems 33, 15568-15578, 2020 | 31 | 2020 |

The asymptotic spectrum of the hessian of dnn throughout training A Jacot, F Gabriel, C Hongler arXiv preprint arXiv:1910.02875, 2019 | 20 | 2019 |

Conformal invariance of crossing probabilities for the Ising model with free boundary conditions S Benoist, H Duminil-Copin, C Hongler Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 52 (4 …, 2016 | 20 | 2016 |

Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances B Simsek, F Ged, A Jacot, F Spadaro, C Hongler, W Gerstner, J Brea International Conference on Machine Learning, 9722-9732, 2021 | 17 | 2021 |

Conformal Field Theory at the Lattice Level: Discrete Complex Analysis and Virasoro Structure C Hongler, FJ Viklund, K Kytölä arXiv preprint arXiv:1307.4104v2, 2017 | 17* | 2017 |

Ising Model: Local Spin Correlations and Conformal Invariance R Gheissari, C Hongler, S Park arXiv preprint arXiv:1312.4446, 2016 | 17* | 2016 |

Critical percolation: the expected number of clusters in a rectangle C Hongler, S Smirnov Probability theory and related fields 151 (3), 735-756, 2011 | 17 | 2011 |

Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects. A Jacot, F Gabriel, C Hongler | 16 | 2019 |

Discrete holomorphicity and Ising model operator formalism C Hongler, K Kytölä, A Zahabi Analysis, complex geometry, and mathematical physics: in honor of Duong H …, 2012 | 15 | 2012 |