Martin Leib

Artificial Intelligence · 2020

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

Subfields

Whom Martin Leib trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)

Papers from Martin Leib's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Greedy Layer-Wise Training of Deep Networks
  3. The Cascade-Correlation Learning Architecture
  4. Unsupervised Machine Learning on a Hybrid Quantum Computer
  5. A Quantum Approximate Optimization Algorithm
  6. Supervised learning with quantum-enhanced feature spaces (Nature)
  7. The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size (Quantum)
  8. Characterizing quantum supremacy in near-term devices (Nature Physics)
  9. The theory of variational hybrid quantum-classical algorithms
  10. Quantum implementation of the unitary coupled cluster for simulating molecular electronic structure

Their papers