https://pmc.ncbi.nlm.nih.gov/articles/PMC4312266/
Multifractal analysis of information processing in hippocampal neural ensembles during working...
Multifractal analysis quantifies the time-scale-invariant properties in data by describing the structure of variability over time. By applying this analysis to...
multifractal analysisinformation processingneural ensembles
https://spaceref.com/status-report/simultaneous-multivariate-forecast-of-space-weather-indices-using-deep-neural-network-ensembles/
Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles -...
Dec 20, 2021 - Space news and reference site.
deep neural networkspace weather
https://arxiv.org/abs/2502.06335
[2502.06335] Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
Abstract page for arXiv paper 2502.06335: Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
https://openreview.net/forum?id=Jy2IgzjoFH
Hierarchical Neural Simulation-Based Inference Over Event Ensembles | OpenReview
When analyzing real-world data it is common to work with event ensembles, which comprise sets of observations that collectively constrain the parameters of an...
hierarchicalneuralsimulationbasedinference
https://www.sciencedaily.com/releases/2016/02/160211140432.htm
Memory ensembles: To preserve its memories, the brain must regulate its neural networks |...
For over forty years, neuro-scientists have been interested in the biological mechanisms underlying the storage of the information that our brain records every...
https://openreview.net/forum?id=rylRCUJDG
Coupled Ensembles of Neural Networks | OpenReview
We show that splitting a neural network into parallel branches improves performance for a parameter budget.
neural networkscoupledensemblesopenreview