Community detection is treated as hypothesis testing with test statistics and canonical-ensemble null models that maximize entropy under chosen constraints.
Proceedings of the national academy of sciences , volume=
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HRNav decomposes image-goal navigation into VLM-based short-horizon planning and RL-based execution with a wandering suppression penalty to improve performance in complex unseen settings.
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Community Detection with the Canonical Ensemble
Community detection is treated as hypothesis testing with test statistics and canonical-ensemble null models that maximize entropy under chosen constraints.
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Think before Go: Hierarchical Reasoning for Image-goal Navigation
HRNav decomposes image-goal navigation into VLM-based short-horizon planning and RL-based execution with a wandering suppression penalty to improve performance in complex unseen settings.
- Dual-Anchoring: Addressing State Drift in Vision-Language Navigation