4 papers
A Reproducible Method for Mapping Electricity Transmission Infrastructure for Space Weather Risk Assessment
Edward J. Oughton, Evan Alexander Peters, Dennies Bor +3
Space weather risk assessment is constrained by the lack of available asset information needed to model Geomagnetically Induced Currents (GICs) in electricity transmission infrastr…
On the coherent extension of some Fano-type learning bounds
Evan Peters
Information theory provides tools to predict the performance of a learning algorithm on a given dataset. For instance, the accuracy of learning an unknown parameter can be upper bo…
Trapped by simplicity: When Transformers fail to learn from noisy features
Evan Peters, Ando Deng, Matheus H. Zambianco +2
Noise is ubiquitous in data used to train large language models, but it is not well understood whether these models are able to correctly generalize to inputs generated without noi…
Importance sampling for data-driven decoding of quantum error-correcting codes
Evan Peters
Data-driven decoding (DDD) - learning to decode syndromes of (quantum) error-correcting codes by learning from data - can be a difficult problem due to several atypical and poorly…