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Found 3 papers, 1 papers with code
Metal Price Spike Prediction via a Neurosymbolic Ensemble Approach
Predicting price spikes in critical metals such as Cobalt, Copper, Magnesium, and Nickel is crucial for mitigating economic risks associated with global trends like the energy transition and reshoring of manufacturing.
Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries
In this paper, we present measures for quantification of error in the response of a large language model based on the diversity of responses to a given prompt - hence independent of the underlying application.
Recurrent Control Nets for Deep Reinforcement Learning
Central Pattern Generators (CPGs) are biological neural circuits capable of producing coordinated rhythmic outputs in the absence of rhythmic input.
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