93 citations · 395 across the 25 of their papers we have counts for
25 papers
Discovering interpretable low-dimensional dynamics using maximum entropy
Michael C. Chung, Tarran Mohan, Purushottam D. Dixit +1
Models (i.e., governing equations) are fundamental to science and engineering. Advances in data acquisition now make it possible to extract interpretable, low dimensional descripti…
Identified charged hadron production in Au+Au collisions at = 54.4 GeV with the STAR detector
STAR Collaboration, B. E. Aboona, J. Adam +360
We present results on the production of , , , and in Au+Au collisions at = 54.4~GeV using the STAR detector at RHIC, at midrap…
Minimax entropy: The statistical physics of optimal models
David P. Carcamo, Nicholas J. Weaver, Purushottam D. Dixit +1
When constructing models of the world, we aim for optimal compressions: models that include as few details as possible while remaining as accurate as possible. But which details --…
Thermal statistics of small magnets
Lukas Herron, Purushottam Dixit
While the canonical ensemble has been tremendously successful in capturing thermal statistics of macroscopic systems, deviations from canonical behavior exhibited by small systems…
TMI: Thermodynamic inference of data manifolds
Purushottam D. Dixit
The Gibbs-Boltzmann distribution offers a physically interpretable way to massively reduce the dimensionality of high dimensional probability distributions where the extensive vari…
Introducing user-prescribed constraints in Markov chains for nonlinear dimensionality reduction
Purushottam D. Dixit
Stochastic kernel based dimensionality reduction approaches have become popular in the last decade. The central component of many of these methods is a symmetric kernel that quanti…