Tag: artificial neural networks
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Unified Framework for Structured Knowledge in Finance
Discover SKINNs, a unified neural network framework integrating structured knowledge and data for improved financial modeling and option pricing.
Initialization-Dependent Generalization Bounds for Shallow Neural Nets
Discover new initialization-dependent, non-vacuous generalization bounds for overparameterized shallow neural networks improving AI model performance.
Polysemy vs Polysemanticity: Impact on AI Superposition Metrics
Explore how lexical identity affects AI superposition metrics, revealing challenges in distinguishing polysemy from polysemanticity in NLP models.
Why Deep Networks Prefer Simple Data Patterns
Explore how deep networks consistently assign higher density to simpler data, revealing key insights into model behavior and out-of-distribution anomalies.
Neural-Assisted In-Motion Heading Alignment for Autonomy
Boost autonomous navigation with neural-assisted in-motion heading alignment, improving accuracy by 53% and reducing alignment time by 67%.