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Uncertainty-aware adaptive sampling in Endo-NeRF++ boosts rendering quality in dynamic surgical scenes, achieving significant improvements over previous methods.
By enforcing physical laws, Lagrangian Neural Networks can significantly improve the accuracy and generalization of dynamics models within Model-Based Reinforcement Learning.
Seemingly superior OCR accuracy from VLMs can mask problematic linguistic regularization and orthographic normalization that silently alter historically meaningful text.
