Mo Tiwari

Artificial Intelligence · 2021

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

Subfields

Whom Mo Tiwari trusts overall

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

  1. Martin A. Riedmiller

Papers from Mo Tiwari's perspective

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

  1. Variational Inference with Normalizing Flows
  2. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
  3. Tree-Based Batch Mode Reinforcement Learning
  4. A Distributional Perspective on Reinforcement Learning
  5. Batch Reinforcement Learning
  6. Factor graphs and the sum-product algorithm
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers