ROAM freezes specialist models and uses LLM priors plus online evidence in a 5-D semantic latent space to cut major-shift MAE by over 20% with under 0.02 ms overhead.
Hybrid grid search and bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes,
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A differentiable Max-Min reachability loss redirects segmentation gradients to connectivity bottleneck pixels, improving topological correctness across nine architectures and six datasets.
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Open-Ended Scenario Reasoning for Specialist Model Adaptation
ROAM freezes specialist models and uses LLM priors plus online evidence in a 5-D semantic latent space to cut major-shift MAE by over 20% with under 0.02 ms overhead.
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Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation
A differentiable Max-Min reachability loss redirects segmentation gradients to connectivity bottleneck pixels, improving topological correctness across nine architectures and six datasets.