Henrik I. Christensen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Henrik I. Christensen trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Ilya Loshchilov (in Computer Vision and Pattern Recognition)

Papers from Henrik I. Christensen's perspective

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

  1. Trust Region Policy Optimization (International Conference on Machine Learning)
  2. Proximal Policy Optimization Algorithms (arXiv.org)
  3. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  4. MuJoCo: A physics engine for model-based control
  5. AUTO-ENCODING VARIATIONAL BAYES
  6. Improved Variational Inference with Inverse Autoregressive Flow
  7. Domain randomization for transferring deep neural networks from simulation to the real world
  8. Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor (International Conference on Machine Learning)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Masked Autoregressive Flow for Density Estimation

Their papers