Clément Hongler

Biographie

2006: B.Sc. Math, EPFL2008: M.Sc. Math, EPFL2010: Ph.D. Math, Université de Genève2010-2014: Ritt Assistant Professor, Columbia University2014-2018 Tenure-Track Assistant Professor, EPFL2019-present: Associate Professor, EPFL

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Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Wulfram Gerstner, Clément Hongler, Johanni Michael Brea, Berfin Simsek, Francesco Spadaro

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths $ r_1^*, \ldots

2021

Clément Hongler

Conformal Field Theory at the Lattice Level: Discrete Complex Analysis and Virasoro Structure

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Neural Tangent Kernel: Convergence and Generalization in Neural Networks (Invited Paper)

Neural Tangent Kernel: Convergence and Generalization in Neural Networks (Invited Paper)

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Conformal Field Theory at the Lattice Level: Discrete Complex Analysis and Virasoro Structure