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Jonathan Lorraine

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https://www.jonlorraine.com/

AI & ML interests

Senior Research Scientist at NVIDIA Research (LPR). Agentic AI for science and engineering, world models, generative models, and scalable nested optimization.

Recent Activity

authored a paper 21 days ago
Addressable Memory for Video World Models
posted an update 22 days ago
🧠 New NVIDIA paper: WorldTrace 🧠 Long-horizon video world models can store prior scenes in their KV cache and still fail to retrieve them once RoPE offsets leave the training range. We show this is an addressability problem, not just a compression problem. WorldTrace assigns compressed memory slots fixed, in-distribution positions. WT-Field improves temporal consistency by +15.5%, while WT-Landmark improves episodic recall by +19.5% on LoopBench, without retraining. 🏆 Best Paper + Oral, ICML 2026 From Frames to Stories Workshop 🔎 Project page: https://research.nvidia.com/labs/sil/projects/WorldTrace/ 📄 Paper: https://huggingface.co/papers/2608.07408 Led by Xindi Wu, with Sven Elflein, James Lucas, Olga Russakovsky, Laura Leal-Taixé, Despoina Paschalidou, Aljoša Ošep, and me.
updated a dataset 24 days ago
lorraine2/fusion-eq-pred-dev1
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