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.
Improved continual learning method using variational inference and FiLM layers.
Improves neural network performance by dynamically adjusting model weights based on source reliability.
Improved model-based estimation through tempered Bayes filter.
New method improves variational inference for better posterior approximation.
We propose a method to learn a distribution of shape trajectories from longitudinal data, i.e. the collection of individual objects repeatedly observed at multiple time-points. The method allows to compute an average spatiotemporal trajectory of shape changes at the group level, and the individual variations of this tr…