Sergei Tretiak

Atomic and Molecular Physics, and Optics · 2000–2019

A researcher in the Science corpus: 15 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sergei Tretiak trusts

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

  1. Frank Neese (in Atomic and Molecular Physics, and Optics)
  2. M. Head‐Gordon (in Atomic and Molecular Physics, and Optics)
  3. Qiang Yang (in Artificial Intelligence)
  4. Peter Stone (in Artificial Intelligence)
  5. Matthew E. Taylor (in Artificial Intelligence)
  6. Sinno Jialin Pan (in Artificial Intelligence)

Papers from Sergei Tretiak's perspective

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

  1. Deep Learning
  2. A Survey on Transfer Learning
  3. Transfer Learning for Reinforcement Learning Domains: A Survey
  4. Boosting for transfer learning
  5. Quantum-chemical insights from deep tensor neural networks
  6. Machine learning: Trends, perspectives, and prospects
  7. The ORCA program system
  8. Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.
  9. Sparse maps--A systematic infrastructure for reduced-scaling electronic structure methods. II. Linear scaling domain based pair natural orbital coupled cluster theory. (Journal of Chemical Physics)
  10. Less is more: sampling chemical space with active learning (Journal of Chemical Physics)

Their papers