A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Brain2Char decodes text from brain recordings, achieving state-of-the-art performance.
Since machine learning models have been applied to neuroimaging data, researchers have drawn conclusions from the derived weight maps. In particular, weight maps of classifiers between two conditions are often described as a proxy for the underlying signal differences between the conditions. Recent studies have however…
A Python package for GLHMM, a flexible HMM framework.
Efficient SGPRN model for imputation and visualization of missing data.
DNI recovers missing brain data from corrupted recordings.
Novel low-rank neural decoder improves -ECoG neural decoding.