Mantis
PulseAugur coverage of Mantis — every cluster mentioning Mantis across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI security scanning needs evidence, not just agents
Google's Mantis system highlights a critical issue in AI security scanning: the distinction between identifying a potential vulnerability and proving its existence. Current AI security tools often generate noisy, unveri…
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LeNEPA: New Time-Series SSL Method Reduces Reliance on Data Augmentation
Researchers have introduced LeNEPA, a novel self-supervised learning method for time-series data that does not require data augmentation. LeNEPA utilizes a causal backbone and a next-latent-token prediction objective, e…
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Mantis: Lightweight Foundation Model for Time Series Classification Unveiled
Researchers have introduced Mantis, a new lightweight foundation model designed for time series classification. This transformer-based model utilizes self-supervised contrastive learning on synthetic data and features a…
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Mantis framework offers efficient Mamba-native tuning for 3D point cloud models
Researchers have introduced Mantis, a novel framework for parameter-efficient fine-tuning (PEFT) specifically designed for Mamba-based 3D point cloud foundation models. Existing PEFT methods struggle with Mamba's state-…