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Mario Geiger

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Related publications (16)

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Mario Geiger

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A recipe for cracking the quantum scaling limit with machine learned electron densities

Relative stability toward diffeomorphisms indicates performance in deep nets

Loss landscape and symmetries in Neural Networks

Landscape and training regimes in deep learning

Finding symmetry breaking order parameters with Euclidean neural networks

Disentangling feature and lazy training in deep neural networks

Scaling description of generalization with number of parameters in deep learning

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Comparing dynamics: deep neural networks versus glassy systems

A General Theory of Equivariant CNNs on Homogeneous Spaces