Author

Despoina Paschalidou

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#artificial intelligence Jun 2026

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

Preliminary results indicate that a world-action model (WAM) post-trained from OmniDreams achieves strong performance on the Physical AI Autonomous Vehicles NuRec dataset, surpassing the VLA-based Alpamayo 1.5 research policy model while using only 1/5 the total parameters.

Aarti Basant, Amlan Kar, Despoina Paschalidou et al. · arXiv.org · 14 citations · ⚡2

Preprint Sep 2026

CASCADE: A Spatio-Temporal-Causal Reasoning Representation and Dataset for Driving

Reasoning is a promising route to the generalization that autonomous driving requires in the long tail, as it can infer how the elements of a scene depend on one another and traverse those dependencies to conclusions beyond what is observed. Yet it is hard to tell whether a model's conclusions follow the scene's depend...

Jenny Schmalfuss, Despoina Paschalidou, Simon Gerstenecker et al. · 0 citations

Preprint Aug 2026

Addressable Memory for Video World Models

This work proposes WorldTrace, a training-free memory framework for long-horizon visual persistence that keeps compressed memory addressable by assigning each summary slot a distinct, in-distribution virtual position.

Xindi Wu, Sven Elflein, James Lucas et al. · 1 citation