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Mario Geiger

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Papers (6)

  1. The jamming transition as a paradigm to understand the loss landscape of deep neural networks cond-mat.dis-nn · 2018 · author #1
  2. 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data cs.LG · 2018 · author #2
  3. Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) cs.LG · 2018 · author #2
  4. The Strong Gravitational Lens Finding Challenge astro-ph.GA · 2018 · author #13
  5. Spherical CNNs cs.LG · 2018 · author #2
  6. Convolutional Networks for Spherical Signals cs.LG · 2017 · author #2

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