3 citations · 10 across the 8 of their papers we have counts for
9 papers
Using Monte Carlo Tree Search to Calculate Mutual Information in High Dimensions
Nick Carrara, Jesse Ernst
Mutual information is an important measure of the dependence among variables. It has become widely used in statistics, machine learning, biology, etc. However, the standard techniq…
Visualization and Efficient Generation of Constrained High-dimensional Theoretical Parameter Spaces
Jason Baretz, Nicholas Carrara, Jacob Hollingsworth +1
We describe a set of novel methods for efficiently sampling high-dimensional parameter spaces of physical theories defined at high energies, but constrained by experimental measure…
The Inference Framework
Nicholas Carrara
The following three sections and appendices are taken from my thesis "The Foundations of Inference and its Application to Fundamental Physics" from 2021, in which I construct a the…
The Entropic Dynamics of Spin
Ariel Caticha, Nicholas Carrara
In the Entropic Dynamics (ED) approach the essence of quantum theory lies in its probabilistic nature while the Hilbert space structure plays a secondary and ultimately optional ro…
On the Estimation of Mutual Information
Nicholas Carrara, Jesse Ernst
In this paper we focus on the estimation of mutual information from finite samples . The main concern with estimations of mutual information is thei…
The Design of Global Correlation Quantifiers and Continuous Notions of Statistical Sufficiency
Nicholas Carrara, Kevin Vanslette
Using first principles from inference, we design a set of functionals for the purposes of \textit{ranking} joint probability distributions with respect to their correlations. Start…
Quantum Trajectories in Entropic Dynamics
Nicholas Carrara
Entropic Dynamics is a framework for deriving the laws of physics from entropic inference. In an (ED) of particles, the central assumption is that particles have definite yet unkno…
On the Upper Limit of Separability
Nicholas Carrara, Jesse A. Ernst
We propose an approach to rapidly find the upper limit of separability between datasets that is directly applicable to HEP classification problems. The most common HEP classificati…
Quantum phases in entropic dynamics
Nicholas Carrara, Ariel Caticha
In the Entropic Dynamics framework the dynamics is driven by maximizing entropy subject to appropriate constraints. In this work we bring Entropic Dynamics one step closer to full…