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#continuous-time-modeling News & Analysis

2 articles tagged with #continuous-time-modeling. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 96/10
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Liquid Neural Networks as a Drop-in Continuous-Time Deformation Field for Dynamic 3D Gaussian Splatting

Researchers propose replacing the MLP-based deformation field in Deformable 3D Gaussian Splatting with Liquid Neural Networks (LNNs), enabling truly continuous-time modeling of dynamic 3D scenes. The approach achieves performance parity or better than baseline methods while providing mathematically principled temporal smoothness, particularly excelling on scenes with complex articulated motion.

AINeutralarXiv – CS AI · May 116/10
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A Rod Flow Model for Adam at the Edge of Stability

Researchers extend rod flow modeling to Adam and other adaptive gradient methods, enabling more accurate continuous-time analysis of optimizer behavior at the edge of stability. This advancement bridges a gap in theoretical understanding of momentum-based optimization algorithms critical to modern deep learning.