Jon Barron is a principal research scientist at Google DeepMind in San Francisco who leads a small team that mostly works on NeRF.
Based on 3 scored articles
Referenced in coverage
“Discovered two numerical bugs in softmax and cross-entropy implementations present in every major ML framework.”
“Reported discovering two numerical issues in conventional softmax and cross-entropy implementations across JAX, PyTorch and textbooks, with a rewrite that eliminates grokking slingshots.”
“Quoted at CVPR 2026 on importance of advisors using modern agentic IDEs.”