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

This work introduces CASCADE (Causal Spatio-Temporal Analysis of Driving Environments), a structured scene representation for reasoning in driving scenes and a human-annotated dataset built on it that provides the reference for benchmarking the reasoning abilities of Physical AI models, and verifying the quality of aut...

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