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#implicit-neural-representations News & Analysis

2 articles tagged with #implicit-neural-representations. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 116/10
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Implicit Neural Representations of Individual Behavior

Researchers introduce Behavioral INR, a self-supervised machine learning model that learns to identify and represent different behavioral policies from unlabeled multi-policy data by adapting implicit neural representations from computer vision. The approach shows promise in robotics, gaming, and racing datasets where mixed behaviors lack annotations, particularly excelling in continuous state-action environments with variable episode lengths.

AIBullisharXiv – CS AI · May 96/10
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Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement

Researchers introduce NOVA, a world modeling framework that represents scene state as weights in implicit neural representations (INRs) rather than traditional encoded latent spaces. The approach eliminates decoder bottlenecks, achieves structural disentanglement of scene components, and enables controllable video generation on consumer GPUs with only 40M parameters.