Tag: causal machine learning
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FERA: Pose-Based Multimedia Decision Support for Foil Fencing
Discover FERA, a pose-based framework enhancing rule-grounded multimedia decision support with a foil fencing case study for accurate, explainable decision...
Tucker Attention: Efficient Generalized Approximate Mechanism
Discover Tucker Attention, a parameter-efficient generalization of approximate attention methods, enhancing performance in LLMs and vision transformers.
Phyelds: Python Framework for Aggregate Computing & ML
Discover Phyelds, a Pythonic framework for aggregate computing that integrates with machine learning for sensor networks, robotics, and federated learning.
Boosting Analogical Reasoning in Narratives with LLM Abstractions
Discover how LLM-derived abstractions enhance structural mapping for improved analogical reasoning in narrative AI models using the YARN framework.
Deep Learning MRI Reconstruction Using Synthetic Fractals
Explore deep learning MRI reconstruction trained on synthetic fractal data, offering a privacy-safe alternative to traditional cardiac MRI datasets.