All people
JM

Researcher

James Martens

Google DeepMindResearch Scientist

Martens created K-FAC, a method that helps neural networks learn efficiently by making better-informed adjustments during training. The technique influenced how researchers optimize large AI systems without the full computational cost of more exact methods.

Career & education

Current role
2016-present
Research Scientist

Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.

Citation Trend

Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
1 snapshots
Citation snapshot on Oct 22, '2630,672Oct 22, '26
citations30,672As of Oct 22, '26
For today’s citation count and per work, visit Google Scholar.
About this profile

Based on public sources. If accuracy is important, verify details using the links or references.

For corrections, updates, or requests to remove information, contact us.

Reviewed August 24, 2026 · Checked for accuracy and new information.

Sharing card