Utrecht University
University of Amsterdam
Alexandre PassosMember of Technical Staff · AnthropicResearcher↗
Researcher
Durk Kingma
AnthropicResearcher, Large-scale Machine Learning
Career & education
Current roleAnthropic2024-presentResearcher, Large-scale Machine Learning
Anthropic2024-presentPreviously
Google DeepMind2023-2024Research Scientist
Google Brain2018-2023Research Scientist
OpenAI2015-2018Founding team member and Research Scientist
Google DeepMind2023-2024Google Brain2018-2023OpenAI2015-2018Advanza2010-2012
Co-founder and Technical LeadWork 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.
citations396,309As of Nov 1, '26
citations+6,344Since last snapshot, Oct 1, '26
Selected contributions
Adam: A Method for Stochastic Optimization
With Jimmy BaAdam automatically adjusts learning rates to guide neural-network training.
Auto-Encoding Variational Bayes
With Max WellingVariational autoencoders learn compact representations of data to generate new examples.
References
- Auto-Encoding Variational Bayesarxiv.org
Kingma co-created the variational autoencoder, which learns a compact map of data and uses it to generate new examples.
- Adam: A Method for Stochastic Optimizationarxiv.org
He also developed Adam, a training method that automatically adjusts how much each part of a neural network changes.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
