24 citations · 27 across the 3 of their papers we have counts for
3 papers
stat.ML2021★ 3 cited
Marginalizable Density Models
Dar Gilboa, Ari Pakman, Thibault Vatter
Probability density models based on deep networks have achieved remarkable success in modeling complex high-dimensional datasets. However, unlike kernel density estimators, modern…
cs.IT2021
Estimating the Unique Information of Continuous Variables
Ari Pakman, Amin Nejatbakhsh, Dar Gilboa +4
The integration and transfer of information from multiple sources to multiple targets is a core motive of neural systems. The emerging field of partial information decomposition (P…
stat.CO2016★ 24 cited
Stochastic Bouncy Particle Sampler
Ari Pakman, Dar Gilboa, David Carlson +1
We introduce a novel stochastic version of the non-reversible, rejection-free Bouncy Particle Sampler (BPS), a Markov process whose sample trajectories are piecewise linear. The al…