Self-supervised inpainting with local neighbourhood tokenisation learns reusable priors for 3D fluid velocity fields that outperform supervised neural surrogates under boundary-condition and dataset shifts on intracranial aneurysm data.
Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining , pages=
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Inpainting physics: self-supervised learning for context-driven fluid simulation
Self-supervised inpainting with local neighbourhood tokenisation learns reusable priors for 3D fluid velocity fields that outperform supervised neural surrogates under boundary-condition and dataset shifts on intracranial aneurysm data.
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LLM-guided Semi-Supervised Approaches for Social Media Crisis Data Classification
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MARS replaces additive clipping and soft penalties in multi-agent trust-region methods with a symmetric geometric barrier, matching or exceeding MAPPO and MASPO performance across 47 tasks in eight environments.
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Physical design of cold neutron direct geometry inelastic spectrometer at China Spallation Neutron Source
CNIS is a new direct-geometry spectrometer at CSNS that combines long flight paths, supermirror guides, and flexible choppers to deliver high cold-neutron flux with routine energy resolution and ~1% in a dedicated high-resolution mode.