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.
STRAND: A single representation for hypothesis testing and vectorisation of persistence diagrams
Traditional Recurrent Neural Networks assume vectorized data as inputs. However many data from modern science and technology come in certain structures such as tensorial time series data. To apply the recurrent neural networks for this type of data, a vectorisation process is necessary, while such a vectorisation leads…
Models predict Alzheimer's Dementia from spontaneous speech with high accuracy.
A new method corrects bias in machine learning for trading by filtering out non-executable prices.
Study compares GNNs and classical molecular featurisations for molecular property and cliff prediction.