← Back to Directory




Yarin Gal
ResearcherUniversity of Oxford
h-index: 4538,000 citations140 papers
Applied Impact Index
Reflects builder-declared project usage. Not a measure of research quality. How is this calculated?
/100
2
Products Built
3
Domains Reached
100%
Foundation Index
100%
Translation Rate
Adoption (40%)Breadth (30%)Foundation (20%)Translation (10%)
Key Papers (2)
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
ICML 201620168,200 citations
OptimizationAI Safety
Products:2026(1 total)
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
CVPR 201820183,800 citations
Computer VisionRobotics
Products:2026(1 total)
Products Using This Research (2)
AI Suggested Connections
Builders who might benefit from this research (auto-detected by domain & keyword analysis)
Rory Finnegan
Seattle · Engineering lead at Xnor.ai (acquired by Apple). Built ultra-efficient edge AI t...
Shared domains: OptimizationRelated keywords: model, deep, learning, deep, neural
29% matchAI suggested
Hyun Kim
Boston · CEO of Lunit. Boston-based AI for cancer detection in medical imaging. FDA-clear...
Shared domains: Healthcare AIRelated keywords: deep, learning, deep, learning, learning
26% matchAI suggested
Jonathan Frankle
Boston · Chief Scientist at Databricks. Creator of the Lottery Ticket Hypothesis. Previou...
Shared domains: OptimizationRelated keywords: model, training, model
23% matchAI suggested
Jeremy Nixon
Cambridge · Co-founder of Cleanlab. Building data-centric AI tools to find and fix label err...
Shared domains: AI SafetyRelated keywords: learning, learning, learning
23% matchAI suggested