Clément Laroche

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Clément Laroche trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Krzysztof Marcin Choromanski
  2. Mark Rowland
  3. Jirí Matousek
  4. Robin Pemantle

Papers from Clément Laroche's perspective

Ordered by how strongly the researchers Clément Laroche trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Improved Training of Wasserstein GANs
  2. Wasserstein Generative Adversarial Networks
  3. Random Features for Large-Scale Kernel Machines
  4. The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
  5. Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
  6. The Fast Johnson--Lindenstrauss Transform and Approximate Nearest Neighbors
  7. Sliced and Radon Wasserstein Barycenters of Measures
  8. The Geometry of Random Features
  9. On variants of the Johnson–Lindenstrauss lemma (Random Struct. Algorithms)
  10. Orthogonal Random Features

Their papers